# Best Database Tools for AI Agents (2026)

Databases, data warehouses, ORMs

| # | Tool | Grade | Score | Biggest Friction |
|---|------|-------|-------|-----------------|
| 1 | Prisma | B+ | 7.54 | Absence of REST API, MCP server, and well-known LLM integration files (.llm.txt, agents.json) makes Prisma invisible to agent discovery mechanisms despite its strong local-first architecture. |
| 2 | Hasura | B+ | 7.18 | Lack of MCP server and agent-specific discoverability signals (llms.txt, agents.json) means agents cannot easily auto-discover Hasura's capabilities and must rely on generic GraphQL introspection. |
| 3 | Xata | B+ | 7.06 | Absence of an OpenAPI specification and lack of webhooks/streaming capabilities force agents to rely on manual API exploration and polling-based updates rather than real-time reactivity. |
| 4 | Drizzle | B | 6.9 | Drizzle has no remote API, MCP server, or CLI interface—agents can only use it as an embedded library, requiring direct code integration rather than autonomous remote access. |
| 5 | Turso | B | 6.84 | Absence of REST API or GraphQL interface forces agents to use language-specific SDKs, limiting language flexibility and requiring runtime dependencies instead of simple HTTP calls. |
| 6 | Fauna | B | 6.42 | Lack of OpenAPI specification, MCP server, and discovery metadata (llms.txt/agents.json) makes it difficult for AI agents to auto-discover and integrate with Fauna without manual documentation review. |
| 7 | CockroachDB | B | 6.22 | The complete absence of an MCP server and REST/GraphQL API means agents must use SQL driver libraries, requiring complex connection management and losing the standardized protocol advantages that modern AI tools expect. |
| 8 | MongoDB Atlas | B | 6.06 | The absence of an OpenAPI specification and agents.json file prevents AI agents from automatically discovering API capabilities, parameters, and response schemas, requiring manual integration work. |
| 9 | EdgeDB | B | 6.04 | Absence of an MCP server and REST API forces agents to use language-specific SDKs rather than standardized protocols, limiting interoperability and requiring pre-built adapter integrations. |
| 10 | Redis Cloud | C+ | 5.76 | The absence of an official OpenAPI specification and deployed MCP server, combined with robots.txt blocking agent crawling, severely limits agent discoverability and reduces the ease of autonomous integration with Redis Cloud. |

Updated: 2026-04-09
Source: https://agenttool.sh/best/database