Sqlite MCP server

Vanna MCP Server

Lightweight, type-safe document storage layer optimized for MCP workflows with versioned context data.

Mirror of https://github.com/doobidoo/mcp-memory-service

Mirror of https://github.com/domdomegg/airtable-mcp-server

Mirror of https://github.com/designcomputer/mysql_mcp_server

MongoDB-focused bridge enabling LLMs to query data, inspect schemas, and manage indexes via natural language.

TypeScript-based implementation of a notes system with URIs, metadata, creation tooling, and summarization prompts.

Accesses Azure Data Explorer clusters with table discovery, query execution, and schema retrieval.

Claude MCP server enabling Claude to read and interact with Firestore collections: list, read, and create documents with support for complex Firestore data types.

Supabase-backed implementation enabling real-time, secure context exchange and scalable integration with frontend apps.

Database Ontology MCP Server

MCP Gateway + MCP Server

Java-based data integration tool with broad multi-source support and a Spring Boot starter for MySQL, optimized for lightweight embedding.

An integration layer orchestrating Stardog via APIs with multi-client support and flexible authentication.

MCP Servers

AWS RDS MySQL MCP Server & Client with Streamlit UI as MCP client and MCP server for other MCP client like Claude Desktop

Lightweight local backend setup to rapidly prototype data flows using Postgres, migrations, and a streamlined Supabase-based development workflow.

MCP server for PostgreSQL - POC

🔍 Convert natural language into PostgreSQL queries using Google Gemini and FastMCP’s Model Context Protocol. 💬 Ask database questions in plain English — get valid SQL instantly.

This project demonstrates how to use the [Model Context Protocol (MCP)](https://modelcontextprotocol.org/) with a Supabase backend. It provides a local development environment for experimenting with MCP, Supabase, and Postgres.

A comprehensive Model Context Protocol (MCP) server suite with modular, extensible server implementations for various integrations.

Dynamic, multi-database analysis with automated Excel and AI-generated thesis reports, designed for flexible research workflows and reproducible results.

AI-powered database interaction using Model Context Protocol (MCP)