# MCP

API Hub is a platform that provides powerful APIs and cloud infrastructure, connecting you to cloud infrastructure and APIs with predictable pricing.

MCP SuperAssistant is a Chrome extension that integrates Model Context Protocol (MCP) tools, allowing users to directly execute MCP tools from AI platforms and insert the results into conversations. This technology enhances the functionality of web-based AI assistants, supporting multiple AI platforms to provide users with a convenient way for data interaction.

The WeChat Reading MCP Server is a lightweight server that bridges WeChat Reading data and Claude Desktop, aiming to achieve in-depth interaction between reading notes and AI. This product utilizes the MCP protocol to seamlessly integrate reading data, providing real-time access and significantly improving users' reading efficiency and information management capabilities.

mcpscan.ai is a security scanning tool focused on Model Context Protocol (MCP) servers. It detects various security vulnerabilities in MCP servers, ensuring the secure interaction of large language models (LLMs) with external tools. This product aims to help developers identify and fix potential security risks, thereby protecting sensitive data and systems from attacks. The core value of mcpscan.ai lies in its specialized security scans for MCP implementations, providing real-time monitoring and detailed vulnerability analysis to support secure deployments.

The MCP Security Checklist is compiled and maintained by the SlowMist team, aiming to help developers identify and mitigate security risks during MCP implementation. With the rapid development of AI tools based on the MCP standard, security issues are becoming increasingly important. This checklist provides detailed security guidance, covering the security requirements of MCP servers, clients, and various scenarios to protect user privacy and enhance the overall stability and controllability of the system.

FastAPI-MCP is a tool specifically designed for FastAPI, aiming for seamless integration with the Model Context Protocol (MCP). It allows developers to automatically convert API endpoints of a FastAPI application into MCP tools without any configuration. The tool's key advantages include simplifying the API integration process with MCP, supporting automatic discovery and conversion of all FastAPI endpoints, preserving the schema of request and response models, and maintaining the same documentation as Swagger. It also supports flexible deployment methods, allowing the MCP server to be mounted directly into the FastAPI application or deployed separately. FastAPI-MCP is suitable for development teams that need to quickly integrate APIs into MCP environments, supporting Python 3.10 and above, with Python 3.12 recommended.

MCP-Scan is a security scanning tool specifically designed for MCP servers. It can detect common security vulnerabilities such as prompt injection and tool poisoning. By checking configuration files and tool descriptions, it helps users ensure system security. Suitable for various developers and system administrators, it is an important tool for maintaining system security.

automcp is an open-source tool designed to simplify the process of converting various existing agent frameworks (such as CrewAI, LangGraph, etc.) into MCP servers. This allows developers to more easily access these servers through a standardized interface. The tool supports the deployment of multiple agent frameworks and is operated through an easy-to-use CLI interface. Suitable for developers who need to quickly integrate and deploy AI agents, it's free of charge and suitable for individual and team use.

mcp-use is an open-source MCP client library designed to help developers connect any large language model (LLM) to MCP tools, building custom agents with tool access capabilities without using closed-source or application clients. This product provides a simple and easy-to-use API and powerful features applicable to multiple domains.

AbletonMCP is a plugin that connects Ableton Live with Claude AI, utilizing the Model Context Protocol (MCP) to enable music production, track creation, and real-time session manipulation. This tool not only simplifies the music creation process but also improves workflow efficiency, particularly beneficial for music producers and creators, helping them leverage AI technology to spark inspiration and quickly realize their ideas. Pricing information is not available, but users can download and use it for free on GitHub.

LiteMCP is a TypeScript framework designed for gracefully constructing MCP (Model Context Protocol) servers. It supports straightforward definitions for tools, resources, and prompts, offers full TypeScript support, and comes with built-in error handling and CLI tools for easy testing and debugging. LiteMCP provides developers with an efficient and user-friendly platform for creating and deploying MCP servers, promoting interaction and collaboration among artificial intelligence and machine learning models. As an open-source solution under the MIT license, LiteMCP is well-suited for developers and enterprises looking to quickly build and deploy MCP servers.

MCP Directory is a website that provides directory services for MCP servers, allowing users to discover and share MCP server resources. The site is developed using TypeScript and offers a user-friendly interface for quickly locating necessary MCP servers. Its significance lies in providing a centralized platform for MCP server users, enhancing resource sharing and technical exchange.

ChatMCP is an AI chat client that implements the Model Context Protocol (MCP), allowing users to interact with the MCP server using any large language model (LLM). The main advantages of this project lie in its flexibility and openness, enabling users to choose different LLM models for chatting according to their needs and install various servers from the MCP server marketplace to interact with different data. ChatMCP offers a user-friendly interface, supporting automatic MCP server installation, SSE MCP transmission support, auto-selection of MCP servers, chat history, and more.

mcp-cli is a command-line interface (CLI) checker for the Model Context Protocol (MCP). It allows users to run MCP servers, list tools, resources, and prompts, and invoke tools, read resources, and access prompts. This tool is crucial for developers as it simplifies the development and interaction processes with MCP servers, enabling more efficient management and debugging. mcp-cli is written in JavaScript, fully open-source, and its source code can be found on GitHub.

MCP Servers is a platform that aggregates various MCP servers from around the world, providing functionalities such as querying and summarizing chat messages, using the Brave Search API for both web and local searches, managing Git repositories, AI image generation, and retrieving and analyzing issues from Sentry.io. These servers support developers and enterprises in achieving automation and intelligence across various fields, enhancing efficiency and innovation capabilities. With its rich features and wide range of applications, the MCP Servers platform has become an essential tool in the programming domain.

Minima is an open-source, fully localized Retrieval-Augmented Generation (RAG) model, capable of integrating with ChatGPT and the Model Context Protocol (MCP). It supports three modes: full local installation, querying local documents through ChatGPT, and querying local files using Anthropic Claude. The primary advantages of Minima include localized data processing, privacy protection, and the ability to leverage powerful language models to enhance retrieval and generation tasks. Background information indicates that Minima supports multiple file formats and allows users to customize configurations to fit different usage scenarios. Minima is free and open-source, targeting developers and enterprises seeking localized AI solutions.