Best-for list
Best MCP servers for databases
Your customer data lives in a database. These MCP servers are the safe way to let agents query it: row-level security, parameterized queries, no service-role keys. Build agents that read and update production data without breaking things.
The picks
Ranked by fit, not by popularity. Each entry links to its full Directories page.
- 1M MCP
Supabase MCP Server
by Supabase
Query and mutate Supabase tables with role-based access control.
Supabase enforces row-level security before the agent touches data. Scoped tokens mean you can give an agent read-only access to customers in their region, not your whole table. The safest way to let agents mutate production data.
Full entry - 2M MCP
Postgres MCP Server
by Model Context Protocol (reference)
Direct SQL access to PostgreSQL with prepared statements and connection pooling.
The foundational database. This server handles SELECT and mutations safely. Agents use parameterized queries so you can't accidentally SQL inject. Good for teams that run Postgres in production.
Full entry - 3
mcp-mongodb
Query and update MongoDB collections through the native driver.
If your data is in MongoDB, this server handles find, insert, update, and delete. Agents use this for document-oriented data. Conditional on MongoDB being your production database.
- 4
mcp-pinecone
Upsert and query a Pinecone vector database for semantic search.
Vector search is table stakes for RAG. This server lets agents store embeddings and search by similarity. Used in every knowledge-retrieval agent that isn't using a raw vector store.
- 5
mcp-weaviate
Query and ingest into Weaviate for schema-aware semantic search.
Weaviate is a full-featured vector database with schema and search filters. This server lets agents do structured semantic search. More powerful than Pinecone for complex queries, more complex to set up.
- 6
mcp-redis
Read and write Redis keys for caching and session state.
Redis holds ephemeral data. This server lets agents cache results, store session state, or implement rate limiting. Used in agents that need to avoid re-running expensive queries.
Run every pick on one platform.
Enterprise DNA audits every database mutation. The agent's INSERT lands in your project trail. The UPDATE surfaces in the affected customer record. Row-level security enforces itself. You know what your agents touched and why.
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