MCP Servers

Connect AI tools directly to Airtable. Query, create, update, and delete records using natural language. Features include base management, table operations, schema manipulation, record filtering, and data migration through a standardized MCP interface.

Connect to any JDBC-compatible database and query, insert, update, delete, and more.

MongoDB integration that enables LLMs to interact directly with databases.

A Qdrant MCP server

Gives LLMs the ability to manage Prisma Postgres databases (e.g. spin up new databases and run migrations or queries).

Query and analyze Prometheus, open-source monitoring system.

Query and analyze Azure Data Explorer databases

An MCP server for generic Database Management System (DBMS) Connectivity via SQLAlchemy using Python ODBC (pyodbc)

An MCP server for generic Database Management System (DBMS) Connectivity via the Open Database Connectivity (ODBC) protocol

An MCP server for generic Database Management System (DBMS) Connectivity via the Java Database Connectivity (JDBC) protocol

Manage and query Postgres databases, tenants, users, auth using LLMs

Model Context Protocol with Neo4j (Run queries, Knowledge Graph Memory, Manaage Neo4j Aura Instances)

SQLite database operations with built-in analysis features

PostgreSQL database integration with schema inspection and query capabilities

A Model Context Protocol (MCP) that provides access to the MongoDB Atlas API. This server wraps the `mongodb-atlas-api-client` package to expose MongoDB Atlas functionality through MCP tools.

Memgraph MCP Server - includes a tool to run a query against Memgraph and a schema resource.

BigQuery database integration with schema inspection and query capabilities

DuckDB database integration with schema inspection and query capabilities

A Model Context Protocol Server for MongoDB

VikingDB integration with collection and index introduction, vector store and search capabilities.