Database MCP Servers

Compare MCP servers for database access, schema inspection, query assistance, hosted databases, and agent workflows around structured data.

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Matching MCP servers

Pulled from the existing MCP Servers directory with no separate topic database.

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A single-binary MCP server for MySQL, MariaDB, PostgreSQL, and SQLite

EAN-Search.org product database official MCP

Access to the EAN-Search.org product database, searching by barcode or keywords

MongoDB Movie Database FastMCP Tools

A server for querying and analyzing the MongoDB sample_mflix movie database.

Multi Database MCP Server

An MCP server that provides AI assistants with structured access to multiple databases simultaneously.

Database MCP server for MySQL, MariaDB, PostgreSQL & SQLite

MCP server for Apache AGE graph databases on PostgreSQL. **21 MCP tools** — the most comprehensive Apache AGE MCP server (graph CRUD, Cypher queries, batch transactions, semantic search, Graph RAG, vis.js visualization, export/import) - **F#/.NET** — the only non-Python Apache AGE MCP server, installs as a single dotnet tool - **Production-grade** — BenchmarkDotNet-verified performance (cached queries in 62 ns, Cypher in 1 ms) - **Open source** — MIT license, published on [NuGet](https://www.nuget.org/packages/AgeMcp) - **Documentation** — full docs site at neftedollar.com/age-mcp

Visual no-code generator that turns any database into multiple scoped MCP servers — one per access group, with PII masking and fail-closed query scoping built in.

CentralMind Gateway

Expose structured databases to AI agents via MCP or OpenAPI 3.1 protocols, with APIs optimized for AI workloads.

Query any Postgres database using natural language.

A remote MCP server for Postgres, deployable on Cloudflare Workers without authentication.

Postgres MCP Pro

An MCP server for PostgreSQL providing index tuning, explain plans, health checks, and safe SQL execution.

Postgres MCP Server

Provides secure database access to PostgreSQL using the Kysely ORM.

Where Database MCP fits

Give agents controlled access to schemas, tables, and query results while building or debugging data workflows.

Let coding agents inspect database structure before changing backend code or drafting migrations.

Support analytics and operations tasks where structured data needs to be queried from an MCP client.

Setup checklist

1Choose a server that supports your database engine or hosted database provider.
2Create read-only credentials for exploration and query drafting.
3Add connection strings or scoped environment variables to the MCP client configuration.
4Test with development or staging data before connecting production databases.

How to choose

Prefer result limits, schema discovery, table allowlists, and read-only credentials by default.
Check whether the server can separate schema inspection from query execution.
Use production access only with logging, approval, and clear rollback procedures.

Database MCP FAQ

What is Database MCP?

Database MCP connects an AI client to database tools so agents can inspect schemas, draft queries, and retrieve structured data through MCP.

How is Database MCP different from SQL MCP?

Database MCP is broader and includes hosted providers and schema workflows. SQL MCP focuses more directly on writing, checking, and running SQL queries.

Should agents get write access to databases?

Usually not at first. Start with read-only access and require explicit approval for mutations, migrations, and production queries.