MCP Servers

search golang packages and their docs from pkg.go.dev, provide the infomation to llm as mcp server You can download the compiled binary from the releases page. Or you can install it from source, compile it by yourself: just use your client to request. it servers on stdio - localCache - [x] use a local cache to avoid search every time(From reddit user) - searchPackage - [x] imported by how many pac

- Model Context Protocol (MCP) Server for Fast Healthcare Interoperability Resources (FHIR) APIs - Table of Contents - Demo with HAPI FHIR server - Demo with EPIC Sandbox - Core Features - Prerequisites - Installation - Installing using PyPI Package - Installing from Source - Installing using Docker - Running the MCP Server with Docker - Using Docker Compose with HAPI FHIR Server - Integration wit

Welcome to the tradingview-mcp project! This application allows you to fetch TradingView chart snapshots quickly and securely using Python. Whether you're tracking market data or visualizing strategies, this tool is designed for you. Download tradingview-mcp Click the link above to download the latest version of the application. - Operating System: Windows, macOS, or Linux - Python Version: Python

An MCP server that provides access to arXiv papers through their API. This server allows LLM clients (like Claude Desktop) to: - Search for scientific papers on arXiv by title and abstract content - Filter search results by submission date range - Control search result sorting (by submission date, update date, or relevance) - See total matching results count to gauge search specificity - Get paper

An MCP (Model Context Protocol) server providing comprehensive email capabilities via IMAP and SMTP. Enables AI assistants to read, search, send, manage, schedule, and analyze emails across multiple accounts. Exposes 47 tools, 7 prompts, and 6 resources over the MCP protocol with OAuth2 support (experimental), email scheduling, calendar extraction, analytics, provider-aware label management, real-

An implementation of a Model Context Protocol (MCP) for internet speed testing. It allows AI models and agents to measure, analyze, and report network performance metrics through a standardized interface. 📦 Available on PyPI: https://pypi.org/project/mcp-internet-speed-test/ 🚀 Quick Start: The Model Context Protocol (MCP) provides a standardized way for Large Language Models (LLMs) to interact w

This repository contains th Metoro MCP (Model Context Protocol) Server. This MCP Server allows you to interact with your Kubernetes cluster via the Claude Desktop App! You can read more about the Model Context Protocol here: https://modelcontextprotocol.io But in a nutshell Metoro is an observability platform designed for microservices running in Kubernetes and uses eBPF based instrumentation to g

A Model Context Protocol (MCP) server implementation that provides database interaction with Snowflake. This server enables running SQL queries via tools and exposes data insights and schema context as resources. - memo://insights A continuously updated memo aggregating discovered data insights. Updated automatically when new insights are appended via the appendinsight tool. - context://table/{tab

Multi-Agent Collaboration Protocol for coordinated AI software development. Think Obsidian for your AI agents - a living knowledge graph where multiple AI agents collaborate through shared context, intelligent task management, and real-time visualization. Watch your codebase evolve as specialized agents work in parallel, never losing context or stepping on each other's work. Beyond the philosophic

A Model Context Protocol server for Conan package manager integration. - Python >= 3.10 - Conan installed Add to your mcp.json: By default, the server uses conan from the system PATH (or the virtual environment where the MCP server is running). If you need to use a specific Conan installation or version, you can set the CONANMCPCONANPATH environment variable in your MCP configuration: If CONANMCPC

A Model Context Protocol (MCP) server that refines your prompts using PromptArchitect's AI-powered prompt engineering. Simply pass your current prompt and get an improved version back. Works with: Claude Desktop • VS Code (Copilot) • Cursor • Windsurf • Zed • JetBrains IDEs • Continue.dev • Cline Unlike generic prompt tools, PromptArchitect understands your project context. When refining prompts,

This repository contains a MCP server that provides access to Milvus vector database functionality. Before using this MCP server, ensure you have: - Python 3.10 or higher - A running Milvus instance (local or remote) - uv installed (recommended for running the server) The recommended way to use this MCP server is to run it directly with uv without installation. This is how both Claude Desktop and

An MCP server that allows LLMs (or humans) to read image metadata on-demand, entirely offline. Based on the excellent exifr library it's exremely fast and does not rely on any external tools. Analyze image metadata and visualize it Perform analysis of your image library: what are my most used cameras? Lens distribution? Which dates of the week I take most pictures on? Most favorite locations? Debu

This Model Context Protocol (MCP) server provides a bridge between Claude and Google Tasks, allowing you to manage your task lists and tasks directly through Claude. This MCP server provides the following functionality: - list-tasklists - List all your task lists - get-tasklist - Get details about a specific task list - create-tasklist - Create a new task list - update-tasklist - Update an existin

MCP (Model Context Protocol) server for the Oyemi semantic lexicon. Provides deterministic word-to-code mapping and valence analysis for AI agents like Claude, ChatGPT, and Gemini. - Semantic Encoding: Convert words to deterministic semantic codes - Valence Analysis: Analyze text sentiment using lexicon-based valence - Semantic Similarity: Measure how similar two words are - Synonym/Antonym Lookup

mcp-image-compression is a high-performance image compression microservice based on MCP (Modal Context Protocol) architecture. This service focuses on providing fast and high-quality image compression capabilities to help developers optimize image resources for websites and applications, improving loading speed and user experience. - Multi-format support: Compress mainstream image formats includin

A Model Context Protocol server implementation for Last9 that enables AI agents to seamlessly bring real-time production context — logs, metrics, and traces — into your local environment to auto-fix code faster. - View demo announcement blog post - Installation - Configuration - Tools Documentation - Development You can connect to Last9 MCP in two ways: This is the easiest and cleanest setup. You

A robust Model Context Protocol (MCP) server that provides secure shell command execution capabilities to AI assistants and other MCP clients. In other words: the brain thinks, this runs the commands. This tool creates a bridge between AI systems and your shell environment through the standardized MCP protocol. It exposes the system shell as a structured tool, enabling autonomous workflows, tool-a

English | 简体中文 | 繁體中文 A context-aware Model Context Protocol (MCP) server that acts as a learning sidecar for AI coding assistants. It helps developers learn from AI-generated code changes through interactive quizzes and provides agents with a persistent project-specific debugging memory. 🎓 learningsession - Interactive Learning Card Trigger: User explicitly requests (e.g., "Quiz me", "Test my un

Model Context Protocol (MCP) server for InfluxDB 3 integration. Provides tools, resources, and prompts for interacting with InfluxDB v3 (Core/Enterprise/Cloud Dedicated/Clustered/Cloud Serverless) via MCP clients. - InfluxDB 3 Instance: URL and token (Core/Enterprise/Cloud Serverless) or Cluster ID and tokens (Cloud Dedicated/Clustered) - Node.js: v18 or newer (for npm/npx usage) - npm: v9 or newe

A multi-model AI orchestration MCP server for automated code review and LLM-powered analysis. Multi-MCP integrates with Claude Code CLI to orchestrate multiple AI models (OpenAI GPT, Anthropic Claude, Google Gemini) for code quality checks, security analysis (OWASP Top 10), and multi-agent consensus. Built on the Model Context Protocol (MCP), this tool enables Python developers and DevOps teams to

A remote Model Context Protocol (MCP) server that connects AI assistants to your crash reporting and real user monitoring data in Raygun through natural language conversations. 📚 Tool Reference • 🚀 Quick Start • 🔑 Get API Token - 🐛 Error Management - Investigate, resolve, and track application errors and crashes with full stack traces and context - 🚀 Deployment Tracking - Monitor releases and

A comprehensive Model Context Protocol (MCP) server for Zabbix integration using FastMCP and python-zabbix-utils. This server provides complete access to Zabbix API functionality through MCP-compatible tools. - hostget - Retrieve hosts with advanced filtering - hostcreate - Create new hosts with interfaces and templates - hostupdate - Update existing host configurations - hostdelete - Remove hosts

A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface. This tool provides the following monitoring capabilities: - CPU Information: Usage percentage, core count, and detailed CPU info - Memory Information: Virtual and swap memory usage - Disk Information: Disk usa