Database MCP Servers — SQL & NoSQL Integration
Connect your databases to Claude. Query PostgreSQL, MongoDB, Supabase, and MySQL using natural language. Schema management, data analysis, and database operations.
PostgresPilot — AI PostgreSQL Database Engineer
PostgresPilot — AI PostgreSQL Database Engineer Short description (mcpize.yaml / listing subtitle) Let AI understand, analyze, and safely work with your PostgreSQL database — schema inspection, read-only SQL, EXPLAIN analysis, index advice, and health diagnostics.
Supabase Security Auditor
Find risky Supabase RLS policies, missing RLS protection, and dangerous PostgreSQL privileges — safely and read-only.
Moltline Recall
by GARPHENGATE
A portable knowledge-graph memory over MCP: upsert entities and relations, search the graph, diff two versions and lint for orphans free; time-travel queries and compaction with a license. The graph is passed in and returned - no database, no embedding key, no account.
cron-schedule-audit-mcp
Validates cron expressions and computes correct next-fire times using the real IANA timezone database — catches the specific DST footgun that silently skips a scheduled job every spring or fires it twice every fall, plus the day-of-month/day-of-week OR-not-AND surprise almost everyone hits once.
postgres-insight
Empower developers and DBAs to optimize PostgreSQL performance with tools for schema introspection, bloat detection, and query diagnostics. Use pg_analyze_query and pg_recommend_indexes to identify bottlenecks and generate schema improvements, while pg_dry_run_query ensures safe execution. From health monitoring to index optimization, gain actionable insights into your database state without manual overhead.
spring-ai-mcp-enterprise
Enterprise-grade MCP Server framework built with Java 17 and Spring Boot 3.4, enabling AI Agents to securely access database queries, web searches, and system monitoring tools.
Featured Database MCP Servers
Most popular SQL and NoSQL database integrations
PostgreSQL MCP Server
Official PostgreSQL integration for SQL queries, schema management, and database operations
Supabase MCP Server
Full Supabase integration for database, auth, storage, and edge functions
MongoDB MCP Server
Document database operations for MongoDB collections and aggregations
Neon MCP Server
Serverless Postgres with branching, autoscaling, and instant provisioning
SQL Database MCP Servers
Relational databases with full SQL query support
PostgreSQL MCP
MySQL MCP Server
SQLite MCP Server
Amazon Aurora MCP
Azure PostgreSQL MCP
CockroachDB MCP
NoSQL Database MCP Servers
Document, key-value, and graph databases
MongoDB MCP Server
Redis MCP Server
DynamoDB MCP Server
Firestore MCP Server
Cloud Database MCP Servers
Managed database platforms with serverless scaling
Supabase MCP Server
PlanetScale MCP Server
Neon MCP Server
Turso MCP Server
Data Warehouse MCP Servers
Analytics and big data platforms for BI and ML workloads
Snowflake MCP Server
Databricks MCP Server
BigQuery MCP Server
Redshift MCP Server
Database MCP Server Comparison
Choose the right database for your project
| Feature | PostgreSQL | MongoDB | Supabase | Neon |
|---|---|---|---|---|
| Database Type | Relational SQL | Document NoSQL | Postgres + BaaS | Serverless Postgres |
| Best For | Complex queries | Flexible schemas | Full-stack apps | Serverless apps |
| Hosting | Self-hosted / Cloud | Atlas / Self-hosted | Managed cloud | Serverless cloud |
| MCP Features | Full SQL access | CRUD + Aggregation | DB + Auth + Storage | Branching + SQL |
| Pricing | Free / Paid hosting | Free tier + paid | Free tier + paid | Free tier + paid |
What Can Database MCP Servers Do?
1. Query Data
Write and execute SQL/NoSQL queries using natural language. Ask Claude to find, filter, and aggregate data without writing complex queries.
2. Manage Schemas
Create tables, modify columns, add indexes. Claude can analyze your schema and suggest optimizations for better performance.
3. Analyze & Report
Generate reports, find insights, and visualize data patterns. Claude interprets results and explains trends in your data.
Frequently Asked Questions
What is a PostgreSQL MCP server?
A PostgreSQL MCP server connects AI assistants like Claude to PostgreSQL databases. It allows you to query data, manage schemas, and perform database operations using natural language instead of writing SQL manually.
Is it safe to connect AI to a production database?
Never grant write access on a production database to an MCP server. Create a dedicated read-only user (PostgreSQL: GRANT CONNECT, USAGE, SELECT on the public schema), set statement_timeout to 10s, and put the connection behind a connection pooler with row limits. For destructive operations (migrations, deletes), keep AI in 'suggest-only' mode and run the SQL yourself.
When should I use PostgreSQL MCP vs Supabase MCP?
Use PostgreSQL MCP when you only need queries against an existing database — fastest setup, no vendor lock-in. Use Supabase MCP when the AI also needs to manage auth, storage, edge functions, or RLS policies in the same call. Supabase MCP is one MCP server replacing four; PostgreSQL MCP is the simpler, narrower tool.
How do I avoid the AI returning 1M-row result sets?
Three layers: (1) Set statement_timeout and a row limit at the database user level. (2) Use a connection pooler like PgBouncer with hard limits. (3) Prompt-engineer the AI to always include LIMIT and ORDER BY in queries unless explicitly asked otherwise. Most database MCP servers expose tool descriptions you can edit to enforce this.
Can I query MongoDB and PostgreSQL in the same Claude session?
Yes — install both MCP servers side by side, each with its own connection string. Claude routes the call by tool name (e.g. `postgres_query` vs `mongodb_find`). Performance matters: large result sets from one server can starve the context window for the other. Filter aggressively on each call.
Do database MCP servers support migrations?
PostgreSQL MCP can run `CREATE`/`ALTER` statements when the connected user has DDL privileges, but treat this as dangerous: a single typo in a generated migration locks tables. The safer pattern is to have AI generate the migration SQL, review it manually, then apply via your normal migration tool (Flyway, Alembic, Prisma Migrate).
Build a Database MCP Server
Create custom database integrations for any SQL or NoSQL database. Build an MCP server, publish to the marketplace, and earn 80% of every sale.