MCP Servers

Open-source MCP server for Snowflake from official Snowflake-Labs supports prompting Cortex Agents, querying structured & unstructured data, object management, SQL execution, semantic view querying, and more. RBAC, fine-grained CRUD controls, and all authentication methods supported.

Serverless MariaDB Cloud DB MCP server. Tools to launch, delete, execute SQL and work with DB level AI agents for accurate text-2-sql and conversations.

Pinecone integration with vector search capabilities

Official MCP server for the S2.dev serverless stream platform.

MSSQL database integration with schema inspection and query capabilities

Universal SQLAlchemy-based database integration supporting PostgreSQL, MySQL, MariaDB, SQLite, Oracle, MS SQL Server and many more databases. Features schema and relationship inspection, and large dataset analysis capabilities.

The Redis official MCP Server offers an interface to manage and search data in Redis.

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