mcp-proxy is a tool for implementing server transmission protocol conversion, supporting proxy conversion between SSE and stdio modes, facilitating communication adaptation between different clients and servers.

Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.

automcp is a tool that can easily convert existing AI agent frameworks (such as CrewAI, LangGraph, etc.) into MCP servers to achieve standardized interface access. It supports the adaptation and deployment of multiple frameworks and provides functions for quick startup and configuration.

This project is a Model Context Protocol (MCP) adapter used to connect large language models (LLMs) with the Lisp development environment, supporting interaction through the lightweight Lisply protocol. The main functions include Lisp code evaluation, HTTP requests, and debugging support, suitable for scenarios such as AI-assisted symbolic programming and CAD design automation.

Deep-Co is a cross-platform chat client developed based on Compose Multiplatform. It supports multiple LLM API providers, including OpenRouter, Anthropic, Grok, OpenAI, etc., and is compatible with OpenAI API and local models. It has functions such as chat record management, prompt management, role adaptation, TTS, etc., and supports multiple languages and theme customization.

Security MCP server configuration/checking/proxy tool, supporting hot reload. One - time configuration can be adapted to all MCP clients.

An MCP server that converts Markdown documents into visual image cards, supporting multiple theme styles and intelligent size adaptation.

The MCP Agent Tool Adapter project enables modular tool invocation through the MCP protocol, supports two agent frameworks, Google ADK and LangGraph, and provides dynamic inference and tool planning capabilities.

Promptheus is an intelligent prompt optimization tool that helps users optimize LLM prompts and improve the effect of AI conversations through adaptive questioning and multi - model support.

The ChuckNorris MCP Server is an enhanced prompt tool designed for large language models. It uses dynamic mode adaptation technology to bypass security restrictions and is mainly used for security research and evaluation purposes.

This project is an MCP Java SDK modified based on the official v0.8.1 version. It mainly performs code adaptation and dependency downgrading to support older version environments such as Java 8, Spring Boot 2.x, and Solon 3.x.

The CrewAI MCP Adapter is a Python library that extends the CrewAI adapter ecosystem by integrating the Model Context Protocol (MCP), providing comprehensive support for custom agent and tool development.

This project is a Python adapter that exposes the tools of MCPO (MCP-to-OpenAPI proxy server) as Ollama-compatible functions, supporting connection to existing MCPO instances or starting a local service.

RegenNexus UAP is a universal adapter protocol for connecting devices, robots, applications, and AI agents, providing low-latency, high-security communication, and supporting multiple hardware and MCP integrations.

MCP2HTTP is a minimal transport adapter for connecting MCP clients using stdio to stateless HTTP MCP servers.

The Higress OPS MCP Server is a service implementation based on the Model Context Protocol (MCP) for configuring and managing the Higress gateway. The project also provides an MCP client based on LangGraph and LangChain MCP Adapters, which interacts with the Higress MCP Server through a proxy flow architecture.

Adaptive Graph of Thoughts is an intelligent scientific reasoning framework based on the Neo4j graph database, which realizes complex scientific reasoning tasks through graph structure and supports integration with AI applications such as Claude Desktop.

The TSAP MCP Server is a text search and analysis processing system based on the Model Context Protocol (MCP), providing standardized interface services for code intelligence and text analysis. The project consists of three major components: core TSAP functions, tool APIs, and the MCP adaptation layer. It supports various functions such as text search, code analysis, and data processing, and can be seamlessly integrated with MCP clients such as Claude Desktop.

A lightweight adapter from MCP to SLOP that connects MCP clients (such as Claude Desktop) to SLOP-compatible servers, enabling protocol conversion and function bridging.

An MCP server supporting MySQL, PostgreSQL, and SQLite, featuring fine-grained permission control, multi-database support, and cloud-ready SSL/TLS functionality, with an extensible architecture implemented using the adapter pattern

Smart-Thinking is an advanced MCP server that provides a multi-dimensional, adaptive, and self-verifiable AI reasoning framework.

The MCP Chat Adapter is a server based on the MCP protocol that provides a standardized interface for LLMs to interact with the OpenAI-compatible API. It focuses on chat model scenarios and supports conversation management and persistent storage.

An MCP server for managing Xcode localization string files, providing translation management tools and a web editor, supporting multilingual translation, key-value management, and device adaptation.

dap-mcp is a Debug Adapter Protocol (DAP) implementation based on the Model Context Protocol (MCP), aiming to optimize and extend the context window of large language models to enhance the debugging workflow.

SolidPilot is an open-source SolidWorks AI assistant that uses a modular architecture to interact with local language models (such as Claude) through the MCP protocol, including technical components like the Python layer, C# adapter layer, and COM bridge.

Smart-Thinking is an advanced MCP server that provides a multi-dimensional, adaptive, and self-verifiable AI reasoning framework. It uses a graph-based architecture to achieve complex thinking connections, supports cross-platform operation, and is compatible with various MCP clients.

dap-mcp is a DAP session management tool based on the MCP protocol, aiming to optimize and expand the context window of large language models and improve the debugging workflow.

A JavaScript library for controlling Ableton Live through the MCP protocol, supporting operations such as creating MIDI tracks. Currently, it is mainly adapted to Ableton 11 and the macOS system.

A simple adapter for converting MCP servers to APIs compatible with GPT Actions

The MCP DAP Server is a Debug Adapter Protocol (DAP) server based on the Model Context Protocol (MCP), providing AI assistants and other MCP clients with the ability to interact with debuggers for multiple programming languages, supporting debugging functions such as breakpoint setting, program control, and status check.

A role-based Model Context Protocol (MCP) server that enables role-specific instruction, memory management, and style adaptation by defining context boundaries for different AI agent roles.

automcp is a tool that can convert existing AI agent frameworks (such as CrewAI and LangGraph) into MCP protocol servers, enabling standardized interface access. It supports rapid deployment, multi - framework adaptation, and provides two transmission modes: SSE and STDIO.

Structured thinking is a modular system that helps users solve complex problems through predefined cognitive frameworks, providing functions such as templated thinking and verification thinking, and supporting continuous learning and adaptation.

A modern, responsive website project for the XACHE cryptocurrency trading platform, including adaptive design, glassmorphism UI effects, and smooth animations.

This project provides an adapter for seamlessly integrating the tools of the MCP (Multimodal Conversation Program) server into LangChain and LangGraph applications, supporting the use of MCP tools in AI application pipelines.

A custom MCP adapter for interacting with MediaWiki and WikiBase APIs, supporting the retrieval and editing of MediaWiki page content.

This project aims to enhance the versatility of AI agents, enabling them to adapt to a wider range of application scenarios.

This project implements an adapter between Langchain and the Box MCP server, integrating AI capabilities through tools and agents, supporting dynamic tool loading, creating React-style agents, and providing a friendly console interaction interface.

An MCP server for analyzing GeoGuessr game statistics, supporting multiple users with independent sessions and dynamic API monitoring. It can automatically adapt to API changes and provide comprehensive game data analysis functions.

The MCP Agent Tool Adapter is a project that implements modular tool invocation through the MCP protocol and supports dynamic inference tools of two agents, Google ADK and LangGraph.