{"category":{"slug":"design","name":"Design","icon":"pixelarticons:image","description":"UI design, prototyping, asset management"},"tools":[{"_id":"69b2da6867df398baec12fa2","name":"Cloudinary","slug":"cloudinary","url":"https://cloudinary.com","description":"","logo":"","category":"Design","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":7,"confidence":"scanner","evidence":"Cloudinary's REST API supports transformation parameters and URL-based optimization, but lacks explicit field selection or GraphQL; responses can be verbose for bulk operations without pagination optimization.","na":false},"access":{"score":8,"confidence":"scanner","evidence":"Strong SDK coverage with Node.js and Python official libraries, REST API, and multiple utility packages (@cloudinary/react, multer-storage-cloudinary); no MCP server or CLI limits the score from 9.","na":false},"auth":{"score":9,"confidence":"scanner","evidence":"Cloudinary uses API key + API secret authentication without OAuth friction, enabling straightforward autonomous agent integration with simple credential-based access control.","na":false},"speed":{"score":7,"confidence":"scanner","evidence":"CDN-backed image delivery is fast, but API rate limits and lack of conditional request support (ETags) for bulk metadata operations limit real-time agent responsiveness; adequate for typical use cases.","na":false},"discoverability":{"score":5,"confidence":"scanner","evidence":"No OpenAPI spec found and homepage fetch failed; while SDKs provide some discoverability and Cloudinary has public documentation, the absence of machine-readable API specs and inability to verify current endpoints reduces score.","na":false},"reliability":{"score":7,"confidence":"scanner","evidence":"Cloudinary maintains consistent API versioning and response schemas across SDKs, but lack of explicit idempotency key documentation and no accessible status page verification limit confidence in failure recovery.","na":false},"safety":{"score":6,"confidence":"scanner","evidence":"Cloudinary offers upload presets and restricted API tokens for scoped access, but lacks explicit sandbox/test mode; transformation parameters are reversible on stored assets, providing moderate safety.","na":false},"reactivity":{"score":4,"confidence":"scanner","evidence":"No evidence of webhooks, streaming, or SSE support in collected signals; agents would need to rely on polling for real-time updates, making reactive workflows inefficient.","na":false}},"agentGrade":"B+","agentScore":7.06,"accessMethods":{"restApi":false,"graphql":false,"cli":false,"sdk":["Node (cloudinary)","Python (cloudinary)"],"mcpServer":"none","openApiSpec":"","llmsTxt":false,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":24,"badgeEmbedCount":3,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.777Z","updatedAt":"2026-04-06T03:37:33.572Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:50:41.094Z","scanVersion":1,"rawSignals":{"homepage":{"error":"fetch failed","status":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":false},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":true,"hasSitemap":true}},"packages":{"npm":[{"name":"cloudinary","description":"Cloudinary NPM for node.js integration","version":"2.9.0"},{"name":"@cloudinary/react","description":"Cloudinary React SDK","version":"1.14.4"},{"name":"@cloudinary/html","description":"An HTML wrapper for Cloudinary","version":"1.13.5"},{"name":"cloudinary-core","description":"Cloudinary Client Side JS library. Cloudinary streamlines your web application’s image manipulation needs. Cloudinary's cloud-based servers automate image uploading, resizing, cropping, optimizing, sprite generation and more.","version":"2.14.1"},{"name":"multer-storage-cloudinary","description":"A Cloudinary multer storage engine","version":"4.0.0"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"},{"name":"@cloudinary-util/util","description":"<picture>   <source media=\"(prefers-color-scheme: dark)\" srcset=\"https://user-images.githubusercontent.com/62209650/196528621-b68e9e10-7e55-4c7d-9177-904cadbb4296.png\" align=\"center\" height=50>   <source media=\"(prefers-color-scheme: light)\" srcset=\"https","version":"4.2.0"},{"name":"@playwright/mcp","description":"Playwright Tools for MCP","version":"0.0.68"},{"name":"@cloudinary-util/url-loader","description":"<picture>   <source media=\"(prefers-color-scheme: dark)\" srcset=\"https://user-images.githubusercontent.com/62209650/196528621-b68e9e10-7e55-4c7d-9177-904cadbb4296.png\" align=\"center\" height=50>   <source media=\"(prefers-color-scheme: light)\" srcset=\"https","version":"6.2.0"}],"pypi":[{"name":"cloudinary","version":"1.44.1","description":"Python and Django SDK for Cloudinary"}],"cli":false,"sdks":["Node (cloudinary)","Python (cloudinary)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"Absence of OpenAPI spec, MCP server, and webhook support forces agents into polling-based workflows and manual API discovery, significantly reducing integration efficiency and real-time responsiveness.","agentSummary":"Cloudinary is well-suited for agent-driven media management tasks with strong SDK coverage and API-key-based auth requiring no human interaction. However, the lack of machine-readable API specs, webhooks, and MCP support creates friction for intelligent automation workflows that require real-time reactivity and self-service API discovery."}},{"_id":"69b2da6867df398baec12fa5","name":"imgix","slug":"imgix","url":"https://imgix.com","description":"","logo":"","category":"Design","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":7,"confidence":"scanner","evidence":"imgix is primarily a URL-building service for image optimization, so API responses are inherently compact; however, no explicit field selection or pagination mechanisms are evident from the signals.","na":false},"access":{"score":7,"confidence":"scanner","evidence":"Multiple SDKs across JavaScript/TypeScript and Python, plus an npm-based URL builder provide solid programmatic access, but the absence of an OpenAPI spec and MCP server limits discoverability and modern agent integration patterns.","na":false},"auth":{"score":8,"confidence":"scanner","evidence":"API key-based authentication is the standard for imgix and enables autonomous agent authentication without human-in-the-loop; the /llms.txt file suggests explicit agent support, indicating secure credential handling.","na":false},"speed":{"score":7,"confidence":"scanner","evidence":"imgix is a CDN-based image service with global edge distribution, implying fast response times, but the collected signals lack explicit rate limit documentation or support for conditional requests like ETags.","na":false},"discoverability":{"score":6,"confidence":"scanner","evidence":"Developer documentation and a /llms.txt file are present, but the absence of an OpenAPI spec and agents.json file limits machine-readable discoverability for agent frameworks.","na":false},"reliability":{"score":6,"confidence":"scanner","evidence":"The established SDK ecosystem and structured data suggest stable versioning, but no explicit evidence of idempotency keys, API versioning strategy, or status page is provided in the signals.","na":false},"safety":{"score":7,"confidence":"scanner","evidence":"URL building itself is inherently safe and reversible (no state mutation), and API keys can be scoped to specific domains or operations in imgix; however, no explicit dry-run or sandbox mode signals are evident.","na":false},"reactivity":{"score":3,"confidence":"scanner","evidence":"No evidence of webhooks, streaming, SSE, or real-time notifications; imgix is fundamentally a pull-based URL generation and image optimization service.","na":false}},"agentGrade":"B","agentScore":6.78,"accessMethods":{"restApi":true,"graphql":false,"cli":false,"sdk":["Node (imgix)","Python (imgix)"],"mcpServer":"none","openApiSpec":"","llmsTxt":true,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":23,"badgeEmbedCount":3,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.778Z","updatedAt":"2026-04-05T22:14:38.488Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:50:51.438Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":790154,"hasStructuredData":true,"hasDeveloperDocs":true,"hasAgentMentions":false,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":true,"path":"/llms.txt","length":5406},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":false,"hasSitemap":true}},"packages":{"npm":[{"name":"imgix","description":"Imgix signature calculation","version":"0.0.2"},{"name":"imgix-url-builder","description":"JavaScript/TypeScript Imgix URL builders for browsers and Node.js","version":"0.0.6"},{"name":"@types/react-imgix","description":"TypeScript definitions for react-imgix","version":"9.5.4"},{"name":"react-imgix","description":"React Component for displaying an image from Imgix","version":"9.11.0"},{"name":"@imgix/js-core","description":"A JavaScript client library for generating image URLs with imgix","version":"3.8.0"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"}],"pypi":[{"name":"imgix","version":"4.0.0","description":"Python client library for imgix."}],"cli":false,"sdks":["Node (imgix)","Python (imgix)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"Lack of OpenAPI specification and MCP server support prevents standardized machine-readable API discovery and modern agent framework integration, requiring agents to rely on SDK documentation and manual URL construction patterns.","agentSummary":"imgix is well-suited for agent use cases involving image URL generation and optimization, with solid SDK support and API-key authentication enabling autonomous operation. However, missing machine-readable API specs and no webhook/streaming support limit real-time reactivity and discoverability for AI agent orchestration platforms."}},{"_id":"69b2da6867df398baec12f90","name":"Figma","slug":"figma","url":"https://figma.com","description":"","logo":"","category":"Design","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":6,"confidence":"scanner","evidence":"Figma's REST API supports field selection and pagination, but responses can be verbose for complex design documents; no explicit batching or compression options are evident from public documentation.","na":false},"access":{"score":8,"confidence":"scanner","evidence":"Figma offers a mature REST API, official Node SDK, multiple community MCP servers (figma-mcp-server, figma-developer-mcp), a CLI tool, and plugin system, providing multiple programmatic access vectors for agents.","na":false},"auth":{"score":7,"confidence":"scanner","evidence":"Figma supports personal access tokens and OAuth, allowing autonomous agent authentication via API keys without requiring user interaction, though token scoping appears limited compared to enterprise-grade platforms.","na":false},"speed":{"score":6,"confidence":"scanner","evidence":"No response time data available; Figma's API is cloud-based with typical latency, but large design file operations can be slow; rate limiting exists but specifics are not detailed in the signals.","na":false},"discoverability":{"score":7,"confidence":"scanner","evidence":"Figma has comprehensive developer documentation and official REST API specs (@figma/rest-api-spec), but no OpenAPI specification found; structured data is present on homepage but formal spec file is missing.","na":false},"reliability":{"score":7,"confidence":"scanner","evidence":"Figma maintains consistent API versioning and predictable response schemas documented via TypeScript definitions; idempotency support for mutations and clear error handling are standard, though no explicit status page signal was detected.","na":false},"safety":{"score":6,"confidence":"scanner","evidence":"Figma provides scoped personal access tokens and a sandbox/test environment via the plugin system, but lacks explicit dry-run modes or undo capabilities for API-based mutations; design changes are permanent once committed.","na":false},"reactivity":{"score":4,"confidence":"scanner","evidence":"No webhooks, streaming, or SSE support detected in signals; agents must rely on polling for real-time updates, making reactive workflows inefficient for collaborative design scenarios.","na":false}},"agentGrade":"B","agentScore":6.66,"accessMethods":{"restApi":true,"graphql":false,"cli":true,"sdk":["Node (@figma/plugin-typings)"],"mcpServer":"none","openApiSpec":"","llmsTxt":false,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":27,"badgeEmbedCount":8,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.773Z","updatedAt":"2026-04-09T07:43:55.430Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:49:42.210Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":1461571,"hasStructuredData":true,"hasDeveloperDocs":true,"hasAgentMentions":true,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":false},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":true,"hasSitemap":true}},"packages":{"npm":[{"name":"@figma/plugin-typings","description":"Typings for the Figma Plugin API","version":"1.123.0"},{"name":"@figma/rest-api-spec","description":"Typings for the Figma REST API","version":"0.36.0"},{"name":"figma-js","description":"A simple wrapper for the Figma API","version":"1.16.1-0"},{"name":"@figma-export/core","description":"@figma-export core functionalities","version":"6.4.0"},{"name":"figma-squircle","description":"Figma-flavored squircles for everyone","version":"1.1.0"},{"name":"figma-developer-mcp","description":"Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.","version":"0.6.6"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"},{"name":"figma-mcp-server","description":"A comprehensive local MCP server for Figma. Connect Figma with the Gemini CLI, Cursor, and Claude Desktop.","version":"2.1.1"},{"name":"@figma-export/cli","description":"Command line for @figma-export","version":"6.4.0"},{"name":"figma-console-mcp","description":"MCP server for accessing Figma plugin console logs and screenshots via Cloudflare Workers or local mode","version":"1.11.3"}],"pypi":[],"cli":true,"sdks":["Node (@figma/plugin-typings)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"The absence of webhooks and real-time APIs forces agents to implement inefficient polling-based monitoring, and lack of an official OpenAPI spec creates discovery friction for new integrations.","agentSummary":"Figma is well-positioned for agent integration with a mature REST API, multiple MCP servers, and Token-based auth, making design automation accessible. However, missing webhooks and limited mutation safety features constrain real-time collaboration and reduce safety guarantees for automated design modifications."}},{"_id":"69b2da6867df398baec12f9f","name":"Unsplash","slug":"unsplash","url":"https://unsplash.com","description":"","logo":"","category":"Design","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":6,"confidence":"scanner","evidence":"API likely supports pagination and field filtering based on modern REST practices, but no OpenAPI spec or documentation review confirms specific optimizations for compact responses or batch operations.","na":false},"access":{"score":7,"confidence":"scanner","evidence":"Official SDKs in Node.js and Python, well-maintained REST API, and developer documentation provide solid programmatic access, but absence of MCP server, GraphQL, or CLI limits agent integration compared to best-in-class tools.","na":false},"auth":{"score":8,"confidence":"scanner","evidence":"API key authentication enables autonomous agent use without human-in-the-loop OAuth, and official SDKs handle credential management, though scoped permission granularity is unknown.","na":false},"speed":{"score":6,"confidence":"scanner","evidence":"No rate limit data or latency metrics are documented; standard REST API suggests moderate performance, but lack of conditional request support (ETags) and published SLA reduces confidence.","na":false},"discoverability":{"score":5,"confidence":"scanner","evidence":"Developer documentation exists and SDKs provide examples, but absence of OpenAPI spec, structured data on homepage, and no agent-specific guidance (llms.txt or agents.json) make API surface harder to discover programmatically.","na":false},"reliability":{"score":6,"confidence":"scanner","evidence":"Official SDKs and stable versioning (unsplash-js 7.0.20) suggest API consistency, but no published status page, idempotency guarantees, or API versioning strategy in collected signals reduce reliability confidence.","na":false},"safety":{"score":4,"confidence":"scanner","evidence":"No evidence of sandbox mode, test API keys, dry-run operations, or fine-grained scoped tokens; robots.txt blocks agents, suggesting the service may not be designed for autonomous agent access.","na":false},"reactivity":{"score":2,"confidence":"scanner","evidence":"No webhooks, streaming, SSE, or real-time capabilities mentioned; read-heavy image search API has low need for reactivity, but lack of polling efficiency guidance limits agent responsiveness.","na":false}},"agentGrade":"B","agentScore":6.06,"accessMethods":{"restApi":true,"graphql":false,"cli":false,"sdk":["Node (unsplash-js)","Python (unsplash)"],"mcpServer":"none","openApiSpec":"","llmsTxt":false,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":22,"badgeEmbedCount":3,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.776Z","updatedAt":"2026-03-24T21:30:40.509Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:50:31.483Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":799442,"hasStructuredData":false,"hasDeveloperDocs":true,"hasAgentMentions":false,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":false},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":true,"hasSitemap":true}},"packages":{"npm":[{"name":"unsplash-js","description":"Official JavaScript wrapper for the Unsplash API","version":"7.0.20"},{"name":"@uppy/unsplash","description":"Import files from Unsplash, the free stock photography resource, into Uppy","version":"5.1.0"},{"name":"@tryghost/kg-unsplash-selector","description":"Unsplash Selector in React","version":"0.3.19"},{"name":"unsplash-react","description":"Upload images from unsplash into your app","version":"0.4.5"},{"name":"@unsplash/ts-namespace-import-plugin","description":"Provides tool for refactoring unsplash web codebase","version":"1.0.0"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"},{"name":"@playwright/mcp","description":"Playwright Tools for MCP","version":"0.0.68"},{"name":"mcp-framework","description":"Framework for building Model Context Protocol (MCP) servers in Typescript","version":"0.2.18"}],"pypi":[{"name":"unsplash","version":"1.0.0a2","description":"A Python client for the Unsplash API."}],"cli":false,"sdks":["Node (unsplash-js)","Python (unsplash)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"robots.txt actively blocks agents and absence of MCP server, test mode, or agent-specific endpoints (llms.txt/agents.json) indicate Unsplash is not designed for autonomous AI agent integration despite having a functional API.","agentSummary":"Unsplash provides a stable REST API with official SDKs enabling programmatic image search and access, but active agent-blocking in robots.txt and lack of safety features (sandbox mode, scoped tokens) suggest the service is not optimized for autonomous agent use. The API is usable by agents via direct SDK calls, but friction and lack of agent-specific integrations place it below purpose-built platforms."}},{"_id":"69b2da6867df398baec12f96","name":"Miro","slug":"miro","url":"https://miro.com","description":"","logo":"","category":"Design","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":6,"confidence":"scanner","evidence":"REST API is available with Node.js and Python SDKs, but no OpenAPI spec or documentation of field selection/pagination capabilities limits confidence in response compactness.","na":false},"access":{"score":7,"confidence":"scanner","evidence":"Multiple access methods available (REST API, Node.js SDK, Python SDK, and a third-party MCP server) provide good programmatic coverage, though no official MCP server limits institutional support.","na":false},"auth":{"score":7,"confidence":"scanner","evidence":"API key-based authentication is available through SDKs and REST API, supporting autonomous agent operation, though no evidence of scoped/fine-grained permissions or test mode distinction.","na":false},"speed":{"score":6,"confidence":"scanner","evidence":"No specific rate limit documentation or support for conditional requests (ETags) is evident, and response time data is unavailable, making assessment of latency characteristics difficult.","na":false},"discoverability":{"score":5,"confidence":"scanner","evidence":"No OpenAPI spec found despite developer documentation existing; homepage has no structured data, and robots.txt blocks agents, making API discovery and schema inference challenging.","na":false},"reliability":{"score":6,"confidence":"scanner","evidence":"SDK versions indicate active maintenance and API stability, but no explicit documentation of idempotency keys, API versioning strategy, or consistent response schemas is evident.","na":false},"safety":{"score":5,"confidence":"scanner","evidence":"API key authentication provides some access control, but no evidence of test/sandbox mode, dry-run capabilities, or operation reversal mechanisms limits safe experimentation.","na":false},"reactivity":{"score":4,"confidence":"scanner","evidence":"No webhooks, streaming, or SSE support is documented; agents would rely on polling, which is inefficient for real-time collaboration scenarios.","na":false}},"agentGrade":"B","agentScore":6.06,"accessMethods":{"restApi":true,"graphql":false,"cli":false,"sdk":["Node (@mirohq/miro-api)","Python (miro)"],"mcpServer":"none","openApiSpec":"","llmsTxt":false,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":23,"badgeEmbedCount":4,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.775Z","updatedAt":"2026-03-24T21:26:37.114Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:49:59.400Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":1431099,"hasStructuredData":false,"hasDeveloperDocs":true,"hasAgentMentions":true,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":false},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":true,"hasSitemap":true}},"packages":{"npm":[{"name":"@mirohq/miro-api","description":"Node.js client for the Miro REST API","version":"2.2.4"},{"name":"@mirohq/websdk-types","description":"Provides typing for the Miro WebSDK v2.","version":"2.17.2"},{"name":"mirotone","description":"Miro UI Kit for building Apps & plugins","version":"5.3.2"},{"name":"create-miro-app","description":"Create Miro app","version":"1.15.4"},{"name":"@k-jarzyna/mcp-miro","description":"Miro integration for Model Context Protocol","version":"1.0.9"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"},{"name":"@playwright/mcp","description":"Playwright Tools for MCP","version":"0.0.68"},{"name":"mcp-framework","description":"Framework for building Model Context Protocol (MCP) servers in Typescript","version":"0.2.18"},{"name":"@modelcontextprotocol/sdk","description":"Model Context Protocol implementation for TypeScript","version":"1.27.1"}],"pypi":[{"name":"miro","version":"0.9.8-svn","description":"UNKNOWN"}],"cli":false,"sdks":["Node (@mirohq/miro-api)","Python (miro)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"Absence of an OpenAPI spec and robots.txt blocking agents prevent easy API discovery and integration, forcing developers to rely on incomplete documentation and manual SDK use.","agentSummary":"Miro provides solid REST API and SDK access for programmatic board manipulation, but lacks discoverable API specs, test mode, and modern agent-friendly features like official MCP servers or webhooks. The tool is suitable for agent integration in specific workflows but requires manual setup and offers limited real-time collaboration support."}},{"_id":"69b2da6867df398baec12f9c","name":"Penpot","slug":"penpot","url":"https://penpot.app","description":"","logo":"","category":"Design","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":5,"confidence":"scanner","evidence":"No OpenAPI spec or documented API response schemas available; plugin types are TypeScript-only without field selection or pagination details visible.","na":false},"access":{"score":6,"confidence":"scanner","evidence":"Multiple MCP server implementations exist (@penpot/mcp, mcp-server-penpot) and TypeScript plugin SDK available, but no official REST API or GraphQL documented; MCP support is promising but fragmented across third-party servers.","na":false},"auth":{"score":3,"confidence":"scanner","evidence":"No API key or token-based authentication details documented; robots.txt blocks agents and no llms.txt or agents.json file for autonomous access, suggesting auth is not designed for programmatic agent use.","na":false},"speed":{"score":4,"confidence":"scanner","evidence":"Homepage response time not captured; no documented rate limits, ETags, or concurrent request support found; MCP servers may have latency overhead depending on implementation.","na":false},"discoverability":{"score":4,"confidence":"scanner","evidence":"No OpenAPI spec, llms.txt, or agents.json; documentation exists but is scattered across plugin types, MCP servers, and developer docs without unified discovery mechanism.","na":false},"reliability":{"score":3,"confidence":"scanner","evidence":"No mention of idempotency keys, API versioning, or consistent response schemas in accessible documentation; plugin types versioned (1.4.2) but API contract stability unknown.","na":false},"safety":{"score":4,"confidence":"scanner","evidence":"Plugin-based architecture provides some isolation, but no mention of test/sandbox mode, dry-run capabilities, or granular scoped permissions for API access.","na":false},"reactivity":{"score":2,"confidence":"scanner","evidence":"No webhooks, streaming, SSE, or documented polling mechanisms found; MCP servers may support some real-time features but not explicitly documented.","na":false}},"agentGrade":"C","agentScore":4.22,"accessMethods":{"restApi":true,"graphql":false,"cli":false,"sdk":["Node (@penpot/plugin-types)"],"mcpServer":"none","openApiSpec":"","llmsTxt":false,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":22,"badgeEmbedCount":3,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.776Z","updatedAt":"2026-03-25T21:30:03.943Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:50:19.847Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":1792486,"hasStructuredData":true,"hasDeveloperDocs":true,"hasAgentMentions":true,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":false},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":true,"hasSitemap":true}},"packages":{"npm":[{"name":"@penpot/plugin-types","description":"The `@penpot/plugin-types` package provides TypeScript type definitions for the Penpot Plugin API, making it easier to develop plugins for the Penpot design platform with full type safety and IDE support. It streamlines the development process by ensuring","version":"1.4.2"},{"name":"@penpot/plugin-styles","description":"This plugin contains a CSS file to help build the UI for Penpot plugins.","version":"1.4.2"},{"name":"mcp-server-penpot","description":"MCP server for Penpot design tool integration","version":"1.1.0"},{"name":"@zcubekr/penpot-mcp-server","description":"MCP server for Penpot with full manipulation capabilities - create, update, and manage designs programmatically","version":"1.0.0"},{"name":"@penpot/mcp","description":"MCP server for Penpot integration","version":"2.14.0"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"},{"name":"@playwright/mcp","description":"Playwright Tools for MCP","version":"0.0.68"},{"name":"mcp-framework","description":"Framework for building Model Context Protocol (MCP) servers in Typescript","version":"0.2.18"}],"pypi":[],"cli":false,"sdks":["Node (@penpot/plugin-types)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"Penpot lacks an official, documented REST API or GraphQL endpoint with authentication designed for programmatic access; agents must rely on undocumented APIs or third-party MCP server implementations with uncertain reliability and maintenance.","agentSummary":"Penpot is a design tool with emerging MCP server support but lacks official programmatic APIs and deliberate agent-friendly authentication, making it moderately challenging for autonomous AI integration. The tool actively blocks agents via robots.txt and provides no discovery files (llms.txt/agents.json), signaling misalignment with AI agent use cases despite having plugin infrastructure."}},{"_id":"69b2da6867df398baec12f93","name":"Canva","slug":"canva","url":"https://canva.com","description":"","logo":"","category":"Design","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":4,"confidence":"scanner","evidence":"No public API documentation or response format details available; the presence of an SDK suggests structured responses, but without access specs, token efficiency cannot be verified.","na":false},"access":{"score":5,"confidence":"scanner","evidence":"Canva offers a CLI tool and Node.js SDKs for the Apps SDK, but these are primarily for building Canva apps rather than integrating with external systems; no public REST API, GraphQL, or MCP server detected.","na":false},"auth":{"score":3,"confidence":"scanner","evidence":"No evidence of API key-based authentication or autonomous agent access; the CLI and SDKs suggest OAuth or session-based auth typical of web platforms, creating friction for autonomous agents.","na":false},"speed":{"score":4,"confidence":"scanner","evidence":"Homepage returned 403 status with no response time data; no rate limit documentation, pagination specs, or concurrent request support visible in signals.","na":false},"discoverability":{"score":3,"confidence":"scanner","evidence":"No OpenAPI spec found; no llms.txt or agents.json files; robots.txt blocks agents; no developer API documentation accessible; homepage returns 403 status.","na":false},"reliability":{"score":4,"confidence":"scanner","evidence":"No evidence of idempotency keys, versioned APIs, or documented response schemas; the 403 status on homepage and lack of API documentation suggest limited API stability guarantees.","na":false},"safety":{"score":3,"confidence":"scanner","evidence":"No indication of test/sandbox mode, dry-run capabilities, or scoped access tokens; the lack of public API documentation makes safety mechanisms impossible to assess.","na":false},"reactivity":{"score":2,"confidence":"scanner","evidence":"No evidence of webhooks, streaming, SSE, or other reactive mechanisms; Canva appears primarily web-UI driven with no polling or event-driven integration patterns documented.","na":false}},"agentGrade":"D","agentScore":3.74,"accessMethods":{"restApi":false,"graphql":false,"cli":true,"sdk":["Node (@canva/error)"],"mcpServer":"none","openApiSpec":"","llmsTxt":false,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":21,"badgeEmbedCount":3,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.774Z","updatedAt":"2026-03-24T23:57:59.213Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:49:51.114Z","scanVersion":1,"rawSignals":{"homepage":{"status":403,"contentLength":377632,"hasStructuredData":false,"hasDeveloperDocs":false,"hasAgentMentions":false,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":false},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":true,"hasSitemap":true}},"packages":{"npm":[{"name":"@canva/cli","description":"The official Canva CLI.","version":"1.21.0"},{"name":"@canva/error","description":"The Canva Apps SDK error library","version":"2.2.1"},{"name":"@canva/user","description":"The Canva Apps SDK user library","version":"2.2.0"},{"name":"@canva/platform","description":"The Canva Apps SDK app platform library","version":"2.2.2"},{"name":"@canva/asset","description":"The Canva Apps SDK asset management library","version":"2.3.0"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"},{"name":"@canva/app-eslint-plugin","description":"ESLint rules and shareable config for building with Canva's Apps SDK","version":"1.0.0-beta.7"},{"name":"@playwright/mcp","description":"Playwright Tools for MCP","version":"0.0.68"},{"name":"@canva/prettier","description":"Prettier is an opinionated code formatter","version":"3.5.0-canva.0"}],"pypi":[],"cli":true,"sdks":["Node (@canva/error)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"Canva has no public, agent-accessible API—the platform appears web-UI and app-SDK focused, with robots.txt blocking agents and a 403 homepage, making autonomous agent integration essentially impossible.","agentSummary":"Canva is currently unsuitable for autonomous agent integration due to the absence of a public API, agent-blocking robots.txt, and a focus on web UI and proprietary app development. Agents would be limited to web scraping or human-in-the-loop interactions, both highly unreliable and against platform policy."}},{"_id":"69b2da6867df398baec12f99","name":"Excalidraw","slug":"excalidraw","url":"https://excalidraw.com","description":"","logo":"","category":"Design","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":2,"confidence":"scanner","evidence":"Excalidraw is a drawing application with no API endpoints, so token efficiency is not measurable; agents cannot programmatically interact with the service to optimize responses.","na":false},"access":{"score":3,"confidence":"scanner","evidence":"Only a React component SDK and npm packages are available; there is no REST API, GraphQL, CLI tool, or MCP server, severely limiting programmatic access for agents.","na":false},"auth":{"score":0,"confidence":"scanner","evidence":"As a client-side drawing application with no backend API, there are no authentication mechanisms or API keys for agent access.","na":false},"speed":{"score":8,"confidence":"scanner","evidence":"As a local-first web application, Excalidraw operates with no network latency for rendering and manipulation, providing fast client-side performance.","na":false},"discoverability":{"score":2,"confidence":"scanner","evidence":"While llms.txt and agents.json files exist, there is no OpenAPI spec, API documentation, or predictable REST endpoints since no API is exposed.","na":false},"reliability":{"score":3,"confidence":"scanner","evidence":"As a client-side application, there are no versioning guarantees, idempotency keys, or consistent API response schemas to rely upon.","na":false},"safety":{"score":7,"confidence":"scanner","evidence":"Local-first architecture with browser-based storage and undo/redo functionality provides inherent safety; users can easily undo operations and files are stored locally.","na":false},"reactivity":{"score":1,"confidence":"scanner","evidence":"As a client-side drawing tool with no backend API, there are no webhooks, streaming, SSE, or polling capabilities for agents to monitor changes.","na":false}},"agentGrade":"D","agentScore":3.04,"accessMethods":{"restApi":false,"graphql":false,"cli":false,"sdk":["Node (@excalidraw/excalidraw)"],"mcpServer":"none","openApiSpec":"","llmsTxt":true,"agentsJson":true},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":20,"badgeEmbedCount":3,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.775Z","updatedAt":"2026-03-24T22:40:32.611Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:50:06.490Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":6680,"hasStructuredData":false,"hasDeveloperDocs":false,"hasAgentMentions":false,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":true,"path":"/llms.txt","length":6680},"agentsJson":{"found":true,"length":6680},"robotsTxt":{"found":true,"blocksAgents":true,"hasSitemap":true}},"packages":{"npm":[{"name":"@excalidraw/excalidraw","description":"Excalidraw as a React component","version":"0.18.0"},{"name":"@excalidraw/mermaid-to-excalidraw","description":"Mermaid to Excalidraw Diagrams","version":"2.1.1"},{"name":"@excalidraw/random-username","description":"```sh npm i @excalidraw/random-username ```","version":"1.2.0"},{"name":"@platejs/excalidraw","description":"Excalidraw plugin for Plate","version":"52.0.11"},{"name":"@zsviczian/excalidraw","description":"Excalidraw as a React component","version":"0.18.0-82"},{"name":"@modelcontextprotocol/ext-apps","description":"MCP Apps SDK — Enable MCP servers to display interactive user interfaces in conversational clients.","version":"1.2.2"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"},{"name":"@playwright/mcp","description":"Playwright Tools for MCP","version":"0.0.68"},{"name":"mcp-framework","description":"Framework for building Model Context Protocol (MCP) servers in Typescript","version":"0.2.18"}],"pypi":[],"cli":false,"sdks":["Node (@excalidraw/excalidraw)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"Excalidraw lacks any programmatic API (REST, GraphQL, or MCP) that would allow agents to create, read, or manipulate diagrams autonomously.","agentSummary":"Excalidraw is fundamentally a client-side drawing application with no backend API integration, making it unsuitable for direct agent automation. Agents can only interact with Excalidraw through its React component or by manually embedding it in custom applications, but cannot autonomously create or modify diagrams."}}]}