About Backend Services MCP servers
Database and backend MCP servers give your AI direct access to your data layer. Query PostgreSQL, browse MySQL tables, manage SQLite databases, and interact with Redis caches — your AI writes and runs queries through natural language instead of manual SQL.
Browse backend services MCP servers at /?category=backend
Related guides
Learn how MCP fits your stack — then come back here to browse and connect servers.
MCP servers for databases
Postgres, MySQL, Redis, and hosted databases reachable from your AI client.
How to find MCP servers
Evaluate listings, compare auth models, and shortlist servers for your stack.
Evaluate MCP servers before you connect
Security checklist — scopes, data handling, and vendor trust signals.
What is MCP?
Protocol basics for connecting AI clients to tools and data sources.
Frequently Asked Questions
What are database MCP servers?
Database MCP servers connect AI agents to relational and NoSQL databases including PostgreSQL, MySQL, SQLite, MongoDB, and Supabase. The AI can run queries, inspect schemas, and manage data through the Model Context Protocol.
Is it safe to connect my database to an AI?
Use read-only database credentials for exploration and reporting. Only grant write access when you specifically need the AI to modify data. Each server skill documents which operations are available and their safety characteristics.
Can my AI write SQL queries?
Yes. Database MCP servers let your AI compose and execute SQL queries against your live database. The AI sees the schema and can write queries in natural language. Use read-only credentials to prevent accidental modifications.
Which databases have MCP servers?
PostgreSQL, MySQL, SQLite, MongoDB, Supabase, Neo4j, and Redis all have MCP servers available. Each provides tools tailored to that database's query language and data model.