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manja316

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Which Database MCP Server Should You Use? I Compared the Top 6

Your AI assistant can now query your database directly. No more copy-pasting SQL results into chat. But there are 183 database MCP servers — which one actually works for YOUR stack?

I tested the top 6 across Postgres, MySQL, SQLite, MongoDB, Redis, and Supabase.

Quick Decision Table

Your Database Use This Why
PostgreSQL @modelcontextprotocol/server-postgres Official MCP team. Read-only by default. Stable.
MySQL @benborla29/mcp-server-mysql Best MySQL support with schema introspection
SQLite @modelcontextprotocol/server-sqlite Official. Great for local dev + prototyping
MongoDB mcp-mongo-server Full CRUD with aggregation pipeline support
Redis @modelcontextprotocol/server-redis Official. Key-value ops + pub/sub
Supabase @supabase/mcp-server Supabase-specific: auth, storage, edge functions, not just SQL

PostgreSQL — The Safe Default

If you're on Postgres (and most of you are), use the official one:

# Claude Code
claude mcp add postgres npx -y @modelcontextprotocol/server-postgres postgresql://user:pass@localhost/mydb

# For Cursor, add to .cursor/mcp.json. For other MCP editors, use your editor's config.
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It connects read-only by default. Your AI can explore schemas, run SELECT queries, and analyze data without risking writes. Perfect for "what does my user_sessions table look like?" or "find all orders over $100 from last week."

When to pick something else: If you need write access or Postgres-specific features (pgvector, PostGIS), look at the specialized servers on Protodex's database category.

Supabase — More Than a Database

If you're on Supabase, don't use the generic Postgres server. The Supabase MCP server understands your whole stack:

# Claude Code
claude mcp add supabase npx -y @supabase/mcp-server

# Works with any MCP-compatible editor (Cursor, Goose, Windsurf, etc.)
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It can manage auth users, storage buckets, edge functions, and RLS policies — not just SQL. "Create a new table with RLS for authenticated users" works as one prompt.

SQLite — For Prototyping

Building something locally? SQLite MCP is the fastest way to give your AI a database:

# Claude Code
claude mcp add sqlite npx -y @modelcontextprotocol/server-sqlite /path/to/your.db

# Works with any MCP-compatible editor
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Point it at any .db file. Instant data exploration. I use this for analyzing datasets — drop a CSV into SQLite, connect MCP, ask questions.

MongoDB — When Your Data Isn't Relational

# Claude Code
claude mcp add mongo npx -y mcp-mongo-server mongodb://localhost:27017/mydb

# Works with any MCP-compatible editor
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Full aggregation pipeline support. "Show me the average order value grouped by country for the last 30 days" translates directly to a Mongo aggregation.

Security Warning

Every database MCP server has your connection string. Before installing any:

  1. Use read-only credentials when possible
  2. Never use production credentials in your MCP config (config files are typically plain text)
  3. Check the security score on Protodex before installing
  4. Prefer official servers (marked ✓ Secure on Protodex) over community ones

All 183 Database MCP Servers

These 6 cover most use cases, but there are specialized servers for: TimescaleDB, ClickHouse, DuckDB, Neo4j, Elasticsearch, Pinecone, Qdrant, Weaviate, and more.

→ Browse all database MCP servers on Protodex


Protodex — 5,618 MCP servers with security scores and one-click install for Claude Desktop, Cursor, Goose, and more.

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