mcp-golang is an unofficial Go implementation of the Model Context Protocol library, supporting the rapid construction of MCP servers and clients, and providing features such as type safety, low code volume, modularity, and two-way communication.

The StrawHat AI development repository provides a complete solution for building local and online AI development environments, including various tools such as the Ollama backend, Open - WebUI frontend, and Claude desktop proxy, supporting rapid deployment and development of AI applications.

This project is a server - side implementation based on the Model Context Protocol (MCP) for connecting to the GraphQL API to access policy data. It is built using the Python SDK and GQL library and supports rapid deployment through the uv tool.

The MCP server officially provided by LAPRAS is used to access and operate job - seeking, work experience and other information on the LAPRAS platform through AI tools. It supports rapid deployment through npm or Docker and provides multiple functions such as job search and work experience management.

This is a development template for the Model Context Protocol (MCP) based on TypeScript, providing a complete foundation for building MCP clients and servers, including production-grade tools, sample code, and clear documentation, supporting rapid development and expansion.

A production-level starter template for MCP servers based on TypeScript, providing rapid development and testing tools.

Xcatcher is a high - performance X (Twitter) data scraping service based on the remote MCP protocol. It supports pay - as - you - go with USDC on the Base and Solana chains via the x402 protocol, provides OpenAPI specifications for easy integration of AI agents, and focuses on the rapid collection of the latest posts of a large number of users.

Gofannon is a toolset for enhancing the functions of language models/agents, providing cross - framework compatibility and a rich set of tools, supporting rapid development and community contributions.

Unity AI ProBuilder is an AI-driven 3D modeling tool based on the MCP protocol that creates and edits editable meshes in the Unity editor through natural language commands, supporting rapid prototyping and procedural geometry generation.

A LinkedIn profile analysis tool based on Claude AI that retrieves and manages LinkedIn post data through RapidAPI.

The MCP service project provides transmission mechanism implementations for multiple protocols, including STDIO and SSE modes, and supports the rapid integration and deployment of multiple programming languages and services.

AutoMCP is a tool that automatically generates server and client code compatible with the MCP protocol based on YAML service definitions, supporting the rapid implementation of tool functions and the organization of service code.

A project dedicated to tracking and recording events and important milestones in the rapid development of the Model Context Protocol (MCP).

An MCP server project based on Nablarch documents, providing document search and conversion functions, and supporting rapid deployment with Docker.

Alibaba Cloud Wuying AgentBay is a cloud infrastructure designed for AI Agents, providing one - click configuration tools and an execution environment, supporting rapid integration and server - based operation.

Rapidapp MCP Server is a Node.js service that implements the Model Context Protocol (MCP) for operating Rapidapp's PostgreSQL database through natural language.

The Graphiti MCP Server is a server based on multi - project knowledge graphs, supporting the rapid construction and management of temporary knowledge graphs for AI agents to query through the model context protocol. This project extends the official getzep/graphiti MCP Server, adds support for multiple servers and a single database, and provides a CLI tool with an optimized developer experience.

Trellis MCP is an interface service that connects AI assistants with Trellis 3D generation models, supporting rapid generation of 3D assets through natural language and importing them into Blender. This project is based on an open - source model and requires self - deployment of the API backend. It is fast and free, but there are stability risks.

A LinkedIn job search service based on the Model Context Protocol (MCP), which implements job search, detail retrieval, and location query functions through the RapidAPI LinkedIn Data API.

A minimized MCP service implementation for Cursor IDE based on the official MCP SDK, used for rapid startup or experimentation.