# MCP integration

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.

Faxbot is an open-source, self-hostable fax API that supports multiple backends (cloud and self-hosted) and MCP transmission options, provides HIPAA-compliant security configurations, and can send faxes through simple function calls.

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.

Parallel Search MCP is a tool that allows the use of parallel search APIs in MCP-compatible LLM clients, suitable for daily small-scale web search tasks

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

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.

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

MCP service for weather data based on WeatherAPI

A comprehensive modern Python wrapper for the Planning Center API, using Pydantic and asynchronous mode, providing type - safe data access, Webhook handling, and MCP server integration, supporting all Planning Center products.

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

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

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.

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.

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.

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.

Google Sheets MCP Server is a tool for automated operations on Google Sheets through the Model Context Protocol (MCP). It provides complete spreadsheet CRUD functions, supports integration with multiple MCP clients, and performs secure authentication through a Google service account.

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.

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.

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.

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.

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.

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

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.

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

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