{"data":{"_id":"69b2da6867df398baec12eb2","name":"Mistral AI","slug":"mistral-ai","url":"https://mistral.ai","description":"","logo":"","category":"AI & ML","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":7,"confidence":"scanner","evidence":"Mistral's chat API supports streaming and function calling with structured responses, enabling efficient token usage, though no explicit field selection or response filtering is documented.","na":false},"access":{"score":8,"confidence":"scanner","evidence":"Mistral provides official SDKs for Node.js and Python, multiple third-party integrations (AI SDK, Genkit, Metorial), and comprehensive API access, though no MCP server or CLI tool is available.","na":false},"auth":{"score":9,"confidence":"scanner","evidence":"API key-based authentication requires no human interaction and enables autonomous agent operation with straightforward credential management.","na":false},"speed":{"score":7,"confidence":"scanner","evidence":"Streaming support enables real-time responses and token efficiency, though no explicit rate limit documentation, ETags, or conditional request mechanisms are mentioned in collected signals.","na":false},"discoverability":{"score":7,"confidence":"scanner","evidence":"llms.txt file is published with API details, developer documentation is available on the homepage, and multiple SDK examples provide guidance, but no OpenAPI spec is published.","na":false},"reliability":{"score":7,"confidence":"scanner","evidence":"Official SDKs suggest consistent API versioning (v1 APIs stable), function calling schema is structured and predictable, though no explicit idempotency key support or status page is evident.","na":false},"safety":{"score":6,"confidence":"scanner","evidence":"Function calling architecture provides output control and structured constraints, with SDKs enabling safe integration patterns, but no explicit test/sandbox environment, dry-run mode, or fine-grained scoped tokens are documented.","na":false},"reactivity":{"score":8,"confidence":"scanner","evidence":"Streaming responses enable real-time output and reactive agent behavior, with function calling supporting asynchronous tool invocation patterns.","na":false}},"agentGrade":"B+","agentScore":7.46,"accessMethods":{"restApi":true,"graphql":false,"cli":false,"sdk":["Node (@mistralai/mistralai)","Python (mistralai)"],"mcpServer":"none","openApiSpec":"","llmsTxt":true,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":224,"badgeEmbedCount":24,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.709Z","updatedAt":"2026-08-23T19:10:26.477Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:36:15.156Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":344961,"hasStructuredData":false,"hasDeveloperDocs":true,"hasAgentMentions":true,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":true,"path":"/llms.txt","length":4847},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":false,"hasSitemap":false}},"packages":{"npm":[{"name":"@metorial/mistral","description":"Mistral AI provider integration for Metorial - enables using Metorial tools with Mistral's language models through function calling.","version":"2.0.0"},{"name":"genkitx-mistral","description":"Firebase Genkit AI framework plugin for Mistral AI APIs.","version":"0.30.0"},{"name":"@aegis-sdk/mistral","description":"Mistral AI SDK adapter for Aegis prompt injection defense","version":"0.5.0"},{"name":"@ai-sdk/mistral","description":"The **[Mistral provider](https://ai-sdk.dev/providers/ai-sdk-providers/mistral)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the Mistral chat API.","version":"3.0.24"},{"name":"@activepieces/piece-mistral-ai","description":"This library was generated with [Nx](https://nx.dev).","version":"0.1.4"},{"name":"@mistralai/mistralai","description":"<!-- Start Summary [summary] --> ## Summary","version":"1.15.1"},{"name":"metorial","description":"The official Node.js/TypeScript SDK for [Metorial](https://metorial.com) - Connect your AI agents to any MCP server with a single line of code. Deploy tools like Slack, GitHub, SAP, and hundreds more without managing infrastructure.","version":"2.0.2"},{"name":"@mariozechner/pi-ai","description":"Unified LLM API with automatic model discovery and provider configuration","version":"0.57.1"},{"name":"@anthropic-ai/mcpb","description":"Tools for building MCP Bundles","version":"2.1.2"}],"pypi":[{"name":"mistralai","version":"2.0.1","description":"Python Client SDK for the Mistral AI API."}],"cli":false,"sdks":["Node (@mistralai/mistralai)","Python (mistralai)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"The absence of an OpenAPI specification and MCP server limits agent framework discoverability and integration standardization, requiring agents to rely on SDK documentation rather than machine-readable interface contracts.","agentSummary":"Mistral AI is well-positioned for agent integration with strong authentication, streaming support, and mature SDKs across multiple languages enabling autonomous operation. However, lack of an OpenAPI spec and MCP server means agents must depend on SDK-level integration rather than standardized discovery mechanisms."}}}