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DATABASE MCP SERVERS

Database servers let models run queries, introspect schemas, and modify rows through the MCP protocol. The serious ones handle transaction boundaries, read-only modes, and schema introspection as first-class features. Use this page to separate them.

Servers
6
Avg editorial score
4.3 / 5
Official servers
1
Added this quarter
6
Last re-verified
MAY 1, 2026
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THE THREE TO BEAT

01Top of category
OfficialDatabase

Postgres MCP

Anthropic

The gold standard for Postgres MCP servers. Explicit transactions, EXPLAIN output, and read-only mode make this the production-safe choice.

14 Tools4,200 Stars
View details →
02Runner up
Vendor

Supabase

Supabase

The production-grade database MCP. RLS-aware queries, schema management, and auth user handling make this the standard for agents that need structured persistence.

03Third place
Vendor

MindsDB

MindsDB

MindsDB is a different shape from every other server in this directory. Most MCPs are thin wrappers around one product's API; MindsDB is a query engine that federates 200+ data sources (Postgres, MongoDB, Slack, Salesforce, Shopify, files, and so on) and exposes them as a single SQL-compatible surface to the agent. The pitch is "give your agent access to all your live data through one connection," and the architecture delivers it: the agent issues SQL, MindsDB routes the query across the federation, results stream back. The cost is operational complexity. Running MindsDB means standing up a Docker container or PyPI install with a database backend, configuring connectors per data source, and managing a Knowledge Base for the unstructured side. Teams who already use MindsDB for analytics get the MCP integration nearly for free; teams considering MindsDB only for the agent surface should weigh the install footprint against using individual MCP servers per data source.

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ALL DATABASE SERVERS

Official5/5

Postgres MCP

Anthropic

Official MCP server for PostgreSQL. Provides read and write access to PostgreSQL databases with schema introspection, query execution, and transaction support. The reference implementation for database MCP servers.

14 tools · 4,200 ★Details →
Vendor5/5

Supabase

Supabase

Persistence layer with full Postgres access and Row Level Security awareness. Query tables, manage schemas, handle auth users, and work with storage buckets.

18 tools · 4,200 ★Details →
Vendor4/5

MindsDB

MindsDB

A federated query engine that exposes 200+ data sources as MCP tools through a unified SQL-compatible interface. Built around a Connect → Unify → Respond workflow with structured tables fused with vectorized data inside Knowledge Bases.

6 tools · 39,077 ★Details →
Vendor4/5

Neon MCP

Neon

MCP server for Neon serverless Postgres. Provides database branching, query execution, and project management. Branch-per-query makes every schema change reversible.

9 tools · 1,800 ★Details →
Vendor4/5

MongoDB MCP Server

MongoDB Inc.

Vendor-built MongoDB MCP server covering both direct database operations (against any MongoDB connection string) and MongoDB Atlas API operations (via Service Accounts credentials). Ships with --readOnly enabled by default in every official install snippet.

8 tools · 1,011 ★Details →
Community4/5

Neo4j MCP (Labs)

Neo4j Labs

Four Neo4j MCP servers maintained by the Neo4j Field GenAI team as part of Neo4j Labs: cypher (natural-language-to-Cypher with schema introspection), memory (knowledge-graph memory across agent sessions), cloud-aura-api (Aura cloud instance management), and data-modeling (graph data modelling and visualization). Each is a separate installable PyPI package.

8 tools · 940 ★Details →
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