AIasdf
English 中文
Search

MCP Servers - Database

Best MCP Server for Database Schema Inspection

Writing code that interacts with a database without knowing the schema is guesswork. Database MCP servers give your AI coding assistant live schema context - producing accurate queries, ORM code, and migrations without hallucinating table names.

Postgres - MySQL - MongoDB Schema Context Read-only Safety

Database MCPs Compared

MCP Server Database Schema Read Query Execute Best For
Neon MCP Postgres (serverless) Yes No Schema exploration, safe
Prisma MCP Any via Prisma Yes Protected Type-safe ORM workflows
Postgres MCP Postgres Yes Yes (configurable) Direct Postgres workflows
Supabase MCP Supabase Postgres Yes Yes (RLS-aware) Supabase projects
MongoDB MCP MongoDB Yes Read-only NoSQL schema inspection

Neon MCP: Best Schema Inspection for Postgres

Neon is serverless Postgres - and its MCP is focused purely on schema inspection. This is actually the right model for most use cases: give the AI the schema context it needs to write accurate code, but do not let it execute arbitrary queries against your production database.

The practical value: when you ask Claude to write a function that joins users and orders, the AI sees the actual column names, types, and relationships. The resulting code works the first time instead of requiring three rounds of correction.

Neon free tier is generous for development - you can connect your local dev database without cost. For staging and production, use a read-only credential with IP allowlisting.

Prisma MCP: Best for TypeScript Workflows

Prisma MCP is purpose-built for TypeScript projects using Prisma ORM. It reads your Prisma schema file directly - not just the database - which means the AI gets type information, relations defined in the schema, and enum values alongside the raw column names.

If your project uses Prisma (increasingly common in TypeScript backends), this MCP is more valuable than a raw SQL schema inspector. The AI can write type-safe queries that match your Prisma schema exactly.

Setup: install the Prisma MCP server and point it to your Prisma schema file. No database credentials needed - it reads the schema definition directly.

Security Considerations

Connecting an AI assistant to your database schema is safe if you follow these practices:

  • Use read-only credentials - Restrict to SELECT only. The AI only needs to inspect schema, not modify data.
  • Connect to staging, not production - For schema exploration, use a staging database that mirrors production. This eliminates any risk of accidental writes.
  • Neon serverless is a good fit - Neon separates compute and storage, and the MCP connection can use a role with minimal permissions on a sandboxed branch.
  • Audit log query history - If your database MCP can execute queries, enable query logging to audit what the AI has run.

Browse the full Database MCP category on AIasdf for all available options including Redis MCP for caching context and Pinecone MCP for vector search.

Connect your database to your AI stack

Browse all database MCP servers - Postgres, MongoDB, Redis, and more - with setup guides.

Browse Database MCP Servers - All MCP Servers -

Frequently Asked Questions

What does database MCP actually give the AI?
Database MCP gives your AI assistant live access to your database schema - table names, column types, relationships, indexes, constraints, and enums. Instead of guessing how a table is structured (and hallucinating column names), the AI sees the actual schema and can write accurate queries, ORM code, and migrations. Some MCPs also support query execution with proper permissioning.
Is it safe to connect a database MCP?
Yes, with proper precautions. MCP servers only read schema information by default - they do not execute writes. Use read-only credentials wherever possible. For sensitive databases, use MCP servers that support connection strings restricting to read-only access. Always review MCP permissions before connecting to production databases. For extra safety, connect to a staging database that mirrors production rather than production itself.
Which database MCP works with Supabase?
The Supabase MCP provides direct access to Supabase Postgres databases with Row Level Security policies visible. The Supabase MCP also exposes your project API configuration and schema, making it particularly useful for building Supabase-integrated features in your code. It understands Supabase-specific features like RLS, auth, and storage.
Can MCP query the database or only inspect schema?
It depends on the specific MCP. Some (Prisma MCP, Postgres MCP) can execute queries with proper permissioning. Others (Neon MCP) focus exclusively on schema inspection. Check each MCP documentation before connecting - executing write queries from an AI assistant without strict guardrails is dangerous. The safest approach is schema-only access with a read-only credential.