Database

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.

Featured Database MCP Servers

Most popular SQL and NoSQL database integrations

PostgreSQL MCP Server

Official

Official PostgreSQL integration for SQL queries, schema management, and database operations

Official
SQL Queries
Schema
Read/Write
View Server

Supabase MCP Server

Official

Full Supabase integration for database, auth, storage, and edge functions

Official
Database
Auth
Storage
View Server

MongoDB MCP Server

Document database operations for MongoDB collections and aggregations

Documents
Collections
Aggregation
View Server

Neon MCP Server

Official

Serverless Postgres with branching, autoscaling, and instant provisioning

Official
Serverless
Branching
Fast
View Server

SQL Database MCP Servers

Relational databases with full SQL query support

PostgreSQL MCP

SQL
Official
Schema
Queries

MySQL MCP Server

SQL
MySQL
MariaDB

SQLite MCP Server

SQL
Local
Lightweight

Amazon Aurora MCP

SQL
AWS
Postgres

Azure PostgreSQL MCP

SQL
Azure
Managed

CockroachDB MCP

SQL
Distributed
SQL

NoSQL Database MCP Servers

Document, key-value, and graph databases

MongoDB MCP Server

NoSQL
Documents
NoSQL

Redis MCP Server

NoSQL
Cache
Key-Value

DynamoDB MCP Server

NoSQL
AWS
NoSQL

Firestore MCP Server

NoSQL
Firebase
Documents

Cloud Database MCP Servers

Managed database platforms with serverless scaling

Supabase MCP Server

Cloud
Postgres
Auth
Storage

PlanetScale MCP Server

Cloud
MySQL
Serverless

Neon MCP Server

Cloud
Postgres
Serverless

Turso MCP Server

Cloud
SQLite
Edge

Data Warehouse MCP Servers

Analytics and big data platforms for BI and ML workloads

Snowflake MCP Server

Warehouse
Analytics
SQL

Databricks MCP Server

Warehouse
Spark
ML

BigQuery MCP Server

Warehouse
Google
Analytics

Redshift MCP Server

Warehouse
AWS
Analytics

Database MCP Server Comparison

Choose the right database for your project

FeaturePostgreSQLMongoDBSupabaseNeon
Database TypeRelational SQLDocument NoSQLPostgres + BaaSServerless Postgres
Best ForComplex queriesFlexible schemasFull-stack appsServerless apps
HostingSelf-hosted / CloudAtlas / Self-hostedManaged cloudServerless cloud
MCP FeaturesFull SQL accessCRUD + AggregationDB + Auth + StorageBranching + SQL
PricingFree / Paid hostingFree tier + paidFree tier + paidFree 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).

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