Databases MCP Servers
Secure database access with schema inspection capabilities. Enables querying and analyzing data with configurable security controls including read-only access.
his MCP server enables LLMs to interact with Teradata databases. This MCP Server support tools and prompts for multi task data analytics
Vertica database integration in Python with configurable access controls and schema inspection
Supabase MCP Server with support for SQL query execution and database exploration tools
MCP service for Tablestore, features include adding documents, semantic search for documents based on vectors and scalars, RAG-friendly, and serverless.
MCP and MCP SSE Server that automatically generate API based on database schema and data. Supports PostgreSQL, Clickhouse, MySQL, Snowflake, BigQuery, Supabase
All-in-one MCP server for Postgres development and operations, with tools for performance analysis, tuning, and health checks
Node.js-based MySQL database integration that provides secure MySQL database operations
Python Streamable HTTP Server you can run locally to interact with memvid storage and semantic search.
MCP server for Google Sheets API integration with comprehensive reading, writing, formatting, and sheet management capabilities.
A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.
An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query
Hydrolix time-series datalake integration providing schema exploration and query capabilities to LLM-based workflows.
Simple Snowflake MCP server that works behind a corporate proxy. Read and write (optional) operations
Supabase MCP Server for managing and creating projects and organisations in Supabase
MCP server for Apache Kafka and Timeplus. Able to list Kafka topics, poll Kafka messages, save Kafka data locally and query streaming data with SQL via Timeplus