Query and manage databases: Postgres, MySQL, SQL Server, MongoDB, Redis, SQLite, graph databases like Neo4j, and vector stores like Weaviate, Pinecone, Qdrant or Chroma used as a database rather than as agent memory.
Compare the top Databases & Data Stores MCP servers
Zero-Vector MCP acts like a high-powered digital brain for AI assistants, giving them the ability to remember past conversations and
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Simple MySQL MCP Server — A simple MCP server for MySQL, demonstrating fundamental MCP protocol concepts. Requires a MySQL database connection configured via environment variables.
SingleStore — Interact with the SingleStore database platform
SimpleDB MCP — A secure MCP server for accessing and exploring relational databases like MySQL, PostgreSQL, Salesforce, and AWS Glue.
SJ RedM MCP Server — A versatile MCP server for RedM development, providing access to RDR3 discoveries, framework documentation, native functions, and database operations.
Simple PostgreSQL MCP Server — An MCP server for interacting with PostgreSQL databases using tools, resources, and prompts.
Simple Memory MCP — A memory management system for AI assistants to store, retrieve, and manage user information using a local database.
Salesforce Einstein by CData — A read-only MCP server for querying live Salesforce Einstein data using a CData JDBC driver.
RewindDB — Interface with the Rewind.ai SQLite database to access audio transcripts and screen OCR data.
qmcp Server — An MCP server for integrating with and querying q/kdb+ databases.
Python MSSQL MCP Server — A Python MCP server for Microsoft SQL Server, enabling schema inspection and SQL query execution.
PyMilvus Code Generate Helper — Retrieves relevant code snippets and documents to assist in generating PyMilvus code, requiring a running Milvus instance.
Qdrant Retrieve — Semantic search using the Qdrant vector database.
QDrant Loader — A toolkit for loading data into the Qdrant vector database, supporting AI-powered development workflows.
Qdrant MCP Server — Semantic code search using the Qdrant vector database and OpenAI embeddings.
Qdrant Memory — A knowledge graph implementation with semantic search powered by the Qdrant vector database.
Pylar — Build custom MCP tools on any datasource and ship them to any agent builder from one control plane—using only SQL and a secure link.
Qdrant — Implement semantic memory layer on top of the Qdrant vector search engine
pg-aiguide — Postgres skills and documentation to help AI coding tools generate better PostgreSQL code.
Octopus MCP Server — A high-performance, persistent knowledge base MCP server built with Rust. Supports local deployment with hybrid datastores like Qdrant, Neo4j, and Redis.
ODBC Server via PyODBC — An MCP server for connecting to databases like Virtuoso using ODBC drivers via pyodbc.
OceanBase — MCP Server for OceanBase database and its tools
OceanBase MCP Server — Interact with OceanBase databases, allowing AI assistants to list tables, read data, and execute SQL queries securely.
Octodet Elasticsearch MCP Server — An MCP server for interacting with Elasticsearch clusters, enabling LLM-powered applications to search, update, and manage data.
ODBC MCP Server — Enables LLM tools to query databases using ODBC connections.