A TypeScript-based WordPress Model Context Protocol (MCP) server that provides a standardized interface for AI systems to achieve secure and programmatic interaction with WordPress sites via JSON-RPC 2.0.

The Kernel MCP Server is an open - source server based on the Model Context Protocol (MCP), providing AI assistants with secure access to Kernel platform tools and browser automation capabilities. It supports cloud application deployment, headless browser control, document search, etc., and uses OAuth 2.0 authentication to ensure security.

A production-level Airtable MCP server based on OAuth 2.0 authentication, providing complete Airtable API coverage and a standardized MCP interface, supporting AI assistants to interact with Airtable.

A fully functional, self-hosted OAuth 2.0 server designed for the modern AI era and the Model Context Protocol (MCP), supporting multiple frameworks and databases, allowing users to have full control over their own data and authentication process.

A custom MCP server based on FastMCP that provides RAG functionality and multiple web search capabilities (Gemini 2.0 and Linkup), supporting local document retrieval and AI-enhanced search.

The MCP Dust Server is a server-side implementation of the Model Context Protocol (MCP) for interacting with Dust AI agents. The project consists of an MCP server and a test client, supporting real-time streaming responses, the complete JSON-RPC 2.0 protocol, session management, and other functions. It can be integrated into development environments such as Windsurf IDE and Claude Desktop.

DataPilot MCP Server is a Snowflake database interaction service based on FastMCP 2.0 and OpenAI integration, providing AI functions such as natural language to SQL conversion, query optimization, and data insights, and supporting core database operations and warehouse management.

An MCP service implemented in Golang based on the JSON-RPC 2.0 protocol, used to parse user input through AI and create specified files

A simple MCP server implemented in Go language, which communicates with AI models using the JSON - RPC 2.0 protocol through standard input and output streams.

This project is a tutorial for building a Model Context Protocol (MCP) server based on Google's Gemini 2.0 model. It includes a complete code implementation, demonstrating how to enable AI models to seamlessly access external tools (such as the Brave Search API) through the MCP standard, and provides an example of a flexible architecture design.

View Control MCP Server is a server that implements the Model Context Protocol (MCP), allowing AI assistants to control the mouse, keyboard operations, and screen capture of a local PC through the JSON - RPC 2.0 protocol. It supports integration with MCP clients such as Claude Desktop and Cursor.