# MCP integration

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.

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

The mkinf SDK is a powerful toolkit that can easily integrate MCP servers into applications and access professional AI capabilities through a unified interface.

A project for parsing the key content of Media Kit PDF files in the advertising and marketing industry, achieving automated processing through integration with the MCP service.

A configurable MCP server SSH client with an intelligent security agent function that can detect and block the execution of unsafe commands in SSH connections.

OpenDeepSearch is an open - source research tool and an alternative to Perplexity Deep Research. It provides in - depth search and research capabilities through the Model Context Protocol (MCP). It can break down complex problems into sub - problems, perform multiple rounds of searches using the Brave Search API, analyze the results, and generate structured research reports. It supports citation of sources and can be integrated into MCP clients such as Claude Desktop and Cursor.

A project that integrates Spotify music playback functions through the MCP service

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.

An MCP server for accessing e-commerce analytics data through the Triple Whale API, providing functions such as blended statistical data, store information, and queries for available metrics and dimensions.

Scraper.is MCP is a web scraping tool integration package based on the Model Context Protocol (MCP), which allows AI assistants to scrape web content through the MCP protocol, supporting multiple format outputs and real-time progress updates.

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

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.

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.

A Discord server project for debugging, supporting channel configuration for different environments (development, pre-release, production) and can be integrated through MCP.

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.

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.

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.

A project integrating a Playwright - based browser proxy and MCP service, supporting browser session control via HTTP API or MCP client

MCP service for weather data based on WeatherAPI

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

Hello-MCP is a practical tool that helps Claude Desktop interact with external tools through the MCP protocol, providing a simple configuration wizard and integration features.

An MCP service project that provides seamless access to the Caiyun Weather API

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.

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.

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.

A sample chat application demonstrating integration with the Model Context Protocol (MCP) server

An MCP implementation for playing sound effects after Cursor AI code generation

Integrate expert teams into the agent flow through the MCP server, involving technical component selection and task document optimization

An Alibaba Cloud OSS file upload server based on the MCP protocol, supporting multi - account management and integration with other MCP tools.

A simple function project integrating Rust with JavaScript/TS, realizing function calls through the MCP client, including the build, test, and configuration processes.