# MCP integration

An SSH automation tool based on the Model Context Protocol that provides secure remote command execution and file transfer functions, supports multiple authentication methods, and can be integrated with MCP clients such as Claude/Cline.

The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.

This project includes custom slash commands for testing the integration of the Coroot MCP server, providing two testing methods: direct tool invocation testing and natural language testing, ensuring security and non-destructiveness.

A modern to-do list application based on FastAPI and the MCP protocol, supporting complete CRUD operations, task statistics, and integrating with the Gemini CLI through the FastMCP server to achieve natural language task management.

The Anybox MCP Server is a Model Context Protocol server developed for the macOS bookmark manager Anybox, allowing clients such as Claude Desktop to search for, save, and manage bookmarks, tags, and folders through the API.

A human feedback loop MCP server for AI-assisted development tools, collecting user feedback through an interactive interface, supporting cross-platform operation and quick feedback options

DeepContext is an MCP server that provides symbol - aware semantic search capabilities for code assistants. By intelligently parsing code structure and semantic relationships, it can accurately locate relevant code snippets in large codebases and improve development efficiency.

An MCP server for data visualization that supports quickly generating charts in multiple formats such as Mermaid and PNG images, and can be seamlessly integrated with MCP clients such as Cursor.

Prompt Decorators is a framework for standardizing large - language - model prompt enhancement and transformation. It provides specification definitions and Python implementations, includes over 140 pre - set decorators, and supports MCP protocol integration.

Runbook MCP Server is a service that allows users to run custom runbooks through Claude Desktop, supporting automated operations and maintenance and manual test plan execution.

k8s_pilot is a lightweight centralized management and control plane for multiple Kubernetes clusters, supporting multi-cluster context switching, resource CRUD operations, and namespace management. It is integrated with Claude AI through the MCP protocol.

The MCP RAG Server is a retrieval-augmented generation service based on the Model Context Protocol. It automatically indexes project documents through local tools (ChromaDB and Ollama) and provides context enhancement capabilities for connected LLMs.

Archon is an intelligent system for autonomously constructing and optimizing AI agents. It demonstrates key principles of modern AI through iterative development, including agent reasoning, domain knowledge integration, and scalable architecture. The current version V4 provides a comprehensive Streamlit interface, supports Docker deployment, and integrates with MCP services for seamless docking of the AI IDE.

The Auggie MCP server integrates the Auggie CLI tool into the MCP ecosystem, providing code repository Q&A and change implementation functions, and supporting clients such as Cursor and Claude.

Engram is a hosted MCP service that provides reliable memory for AI agents, enabling AI to remember past conversations, facts, and decisions, making it more like a real team member.

The MCP API is a watermark removal service for Sora2 videos based on the model context protocol. It can be quickly integrated into mainstream MCP-compatible tools such as Claude Desktop and OpenAI, and can intelligently remove video watermarks through simple API key authentication.

kivv is an automatic arXiv research paper discovery and AI intelligent summarization system, integrated with Claude Desktop via the MCP protocol, supporting multi - user, RSS subscription, and cost optimization, and built on Cloudflare Workers.

PageIndex MCP is an inference-based vectorless RAG system. Through the MCP protocol, it exposes the tree-like index of documents to LLMs, enabling platforms such as Claude to retrieve information from PDF documents through structural reasoning like human experts, without the need for a vector database.

A text-to-speech (TTS) MCP server based on FishSpeech, supporting voice reference saving and can be integrated with MCP-compatible LLMs such as Dive.

An MCP server for searching and downloading papers from multiple academic platforms (such as arXiv, PubMed, bioRxiv, etc.), supporting standardized search and acquisition tools, facilitating AI - driven research workflows.

An intelligent version control and documentation generation system that supports the MCP protocol, providing snapshot management, automatic documentation generation, and multi-interface access (CLI, REST, MCP).

UpTier is a desktop to - do application that combines the Microsoft To Do - style interface with the intelligent priority sorting function of Claude AI, enabling intelligent task management through the MCP protocol.

A YAML declarative API testing framework, optimized for AI programming assistants. It seamlessly integrates with editors such as Claude/Cursor through the MCP server, enabling efficient API test generation and execution.

Speikzeug is a modern toolset that provides MCP server integration for automated data processing and system anonymization.

The VibeCheck Web testing tool is an AI-driven web testing agent designed to simplify the web testing process for developers. It integrates with AI programming assistants through the MCP protocol, supporting automated test recording, execution, and discovery, and helping developers quickly identify and fix code issues.

MCP - OpenLLM is a LangChain wrapper tool for seamless integration of different MCP servers and open - source large language models (LLMs), supporting the use of LangChain community models.

A server implementation based on the Model Context Protocol (MCP) for executing CMD commands and SSH connections on Windows and Linux systems, supporting the integration of command - line operations through MCP - compatible applications.

An intelligent bot that integrates MCP servers with Slack, providing LLM - driven interaction and tool execution capabilities.

mcp - rag - server is a Retrieval Augmented Generation (RAG) server based on the Model Context Protocol (MCP). It provides relevant context for connected LLMs by indexing project documents. It uses ChromaDB and Ollama for local storage and embedding generation, supports multiple file formats, and can be quickly deployed using Docker.

A document storage and retrieval system based on FastAPI and ChromaDB, providing API interfaces to manage collections and documents and supporting MCP service integration.