Best MCP Servers for Database Access in 2026 (PostgreSQL, MySQL, SQLite)
We scored 8 top database MCP servers across security, maintenance, and utility. Every single one earns a perfect 5/5 on security — here is what the data actually shows.
Database access is the single most requested use case for MCP servers. Whether you want Claude to query your PostgreSQL database, run analytics against MongoDB, or build a natural-language SQL layer over your data — this is the category that delivers the most immediate ROI.
We indexed and scored every database MCP server in our catalog of 11,394 tools. Eight stood out. Here is what the data says about each one — starting with the finding that surprised us most.
The Surprising Result: All Top 8 Score 5/5 on Security
Before diving into individual tools, one data point is worth highlighting: every top database MCP server in our index earns a perfect 5/5 security score. This is not the norm across the broader catalog — 52.8% of all scored tools in our index have a security score of 2 or below. Database tools are the exception. They are overwhelmingly maintained by professional teams with clear security practices.
The 8 Best Database MCP Servers (2026)
1. MCP Toolbox for Databases by Google — Score: 94/100
GitHub stars: 13,133 · Security: 5/5 · Maintenance: Active
The MCP Toolbox for Databases is Google's official open-source MCP server for database connectivity. It supports PostgreSQL, MySQL, SQLite, AlloyDB, Cloud SQL, Spanner, Bigtable, and more. The breadth of database support combined with Google's active maintenance cadence earns it the top spot.
Best for: teams running on Google Cloud, multi-database setups, production workloads
Install: pip install mcp-toolbox-for-databases
2. Supabase MCP Server (Official) — Score: 94/100
GitHub stars: 2,340 · Security: 5/5 · Maintenance: Active
The official Supabase MCP server connects Claude directly to your Supabase project. Beyond raw SQL queries, it exposes Supabase-specific primitives: table management, RLS policies, Edge Function invocation, and storage operations. If your stack runs on Supabase, this is the obvious first install.
Best for: Supabase users, Next.js + Supabase stacks, projects using Supabase Auth or Storage
Install: Add to Claude Desktop config — see full setup guide
3. DBHub — Score: 91/100
GitHub stars: 2,159 · Security: 5/5 · Maintenance: Active
DBHub takes a different approach: zero external dependencies, unusually token-efficient communication, and support for Postgres, MySQL, SQLite, and SQL Server in one package. The "token-efficient" claim is real — DBHub's protocol design returns structured results that cost far fewer tokens than free-form SQL outputs from most alternatives.
Best for: cost-conscious teams, multi-database environments, SQLite-heavy workflows
4. pg-aiguide — Score: 91/100
GitHub stars: 1,558 · Security: 5/5 · Maintenance: Active
pg-aiguide is purpose-built for PostgreSQL — it includes not just query execution but an embedded Claude plugin that understands Postgres documentation. Ask it to explain a query plan, suggest an index, or walk you through pg_stat_* views. It is the most Postgres-native option in our index.
Best for: PostgreSQL-first teams, database tuning, query optimization workflows
5. Supabase Community MCP — Score: 88/100
GitHub stars: 2,478 · Security: 5/5 · Maintenance: Active
The community Supabase MCP predates the official server and remains widely used. Simpler to configure than the official version but with narrower scope. A good option if you only need read/write access and prefer less surface area.
6. MySQL MCP Server by benborla29 — Score: 88/100
GitHub stars: 1,221 · Security: 5/5 · Maintenance: Active
benborla29/mcp-server-mysql provides read-only access to MySQL databases. The read-only constraint is a deliberate security choice — it prevents accidental writes through natural-language queries. For teams where data integrity is paramount, this is a feature, not a limitation.
Best for: MySQL shops, read-heavy analytics, environments where write access via LLM is undesirable
7. Qdrant MCP Server (Official) — Score: 88/100
GitHub stars: 1,233 · Security: 5/5 · Maintenance: Active
The official Qdrant MCP server opens vector database operations to your AI agent. Semantic search, collection management, payload filtering — all exposed as MCP tools. Essential for RAG pipelines where Qdrant is the vector store.
Best for: RAG applications, semantic search, embedding-heavy workflows
8. MongoDB MCP Server — Score: 85/100
GitHub stars: 920 · Security: 5/5 · Maintenance: Active
The MongoDB MCP server connects agents to MongoDB databases with support for CRUD operations, aggregation pipelines, and Atlas Search. Younger than the others in this list but growing quickly — 920 stars in under six months of existence.
Best for: MongoDB Atlas users, document-oriented data, teams not yet ready to switch to a relational model
How to Choose
| If you use… | Start with… |
|---|---|
| Supabase | Supabase MCP Server (Official) |
| PostgreSQL (standalone) | pg-aiguide or DBHub |
| MySQL | benborla29/mcp-server-mysql |
| MongoDB | MongoDB MCP Server |
| Qdrant / vectors | Qdrant MCP Server |
| Multiple databases | MCP Toolbox for Databases or DBHub |
| Google Cloud | MCP Toolbox for Databases |
What We Look for in Database MCP Servers
Our scoring model weighs four dimensions: security (30%), utility (30%), maintenance (25%), and uniqueness (15%). For database tools, security is especially important — a misconfigured MCP server with write access to production is a single prompt injection away from data loss.
All eight tools above earn the maximum 5/5 on security. This is the baseline you should require before connecting an MCP server to any production database.
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