Mcp Server AI Agent Skills

A Model Context Protocol (MCP) server that enables Claude Desktop and other AI assistants to browse Reddit, search posts, and analyze user activity. Clean, fast, and actually works - no API keys required. Claude analyzing real-time sentiment about H-1B visa changes across r/cscareerquestions and r/india - What makes Reddit MCP Buddy different? - Quick Start - What can it do? - Available Tools - Au

An MCP (Model Context Protocol) server that brings authoritative medical information into AI coding environments like Cursor and Claude Desktop. - 🔒 Your Data Never Leaves – Runs 100% locally; no tracking, no logs, no cloud - 🆓 No API Keys – Works out of the box, zero configuration - 🏥 Authoritative Sources – FDA, WHO, PubMed, RxNorm, Google Scholar, AAP, pediatric journals - ⚡ Easy Setup – One

A fast, lightweight Model Context Protocol (MCP) server that empowers LLMs with browser automation via Puppeteer’s structured accessibility data, featuring optional vision mode for complex visual understanding and flexible, cross-platform configuration. - ⚡ Fast & lightweight. Utilizes Puppeteer's label index, not pixel-based input and accessibility DOM tree. - 👁️ Vision Mode Support. Optional vi

Educational MCP server with 17 tools, persistent workspace, and cloud hosting. Built with FastMCP and the official Model Context Protocol Python SDK. Available on: - Official MCP Registry - io.github.clouatre-labs/math-mcp-learning-server - PyPI - math-mcp-learning-server Requires an MCP client: - Claude Desktop - Anthropic's desktop app - Claude Code - Command-line MCP client - Goose - Open-sourc

Generate Apache ECharts with AI MCP dynamically for chart generation and data analysis. Also you can use mcp-server-chart to generate chart, graph, map. - Fully support all features and syntax of ECharts, include data, style, theme and so on. - Support exporting to png, svg, and option formats, with validation for ECharts to facilitate the model's multi-round output of correct syntax and graphics.

An MCP server developed for AI to connect and manage Jupyter Notebooks in real-time Developed by Datalayer - Key Features - MCP Overview - Getting Started - Best Practices - Contributing - Resources - ⚡ Real-time control: Instantly view notebook changes as they happen. - 🔁 Smart execution: Automatically adjusts when a cell run fails thanks to cell output feedback. - 🧠 Context-aware: Understands

A Model Context Protocol (MCP) server that loads and serves multiple OpenAPI specifications to enable LLM-powered IDE integrations. This server acts as a bridge between your OpenAPI specifications and LLM-powered development tools like Cursor and other code editors. - Loads multiple OpenAPI specifications from a directory - Exposes API operations and schemas through MCP protocol - Enables LLMs to

mcp-name: io.github.aikts/yandex-tracker-mcp A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Yandex Tracker APIs. This server provides secure, authenticated access to Yandex Tracker issues, queues, comments, worklogs, and search functionality with optional Redis caching for improved performance. Documentation in Russian is available here / Документац

An MCP (Model Context Protocol) server that provides token-efficient access to OpenAPI (v3.0) and Swagger (v2.0) specifications via MCP Resource Templates. The primary goal of this project is to allow MCP clients (like Cline or Claude Desktop) to explore the structure and details of large OpenAPI specifications without needing to load the entire file into an LLM's context window. It achieves this

A weather forecast MCP (Model Context Protocol) server providing 8-day global weather forecasts and current weather conditions using the OpenWeatherMap One Call API 3.0. Animation showing Claude Desktop processing the weather data from the MCP Server Claude Desktop showing a detailed weather forecast with lawn mowing recommendations - 🌍 Support for querying weather conditions anywhere in the worl

An MCP (Model Context Protocol) server implementation for Microsoft Teams integration, providing capabilities to read messages, create messages, reply to messages, mention members. - Start thread in channel with title and contents, mentioning users - Update existing threads with message replies, mentioning users - Read thread replies - List channel team members - Read channel messages - uv package

Access comprehensive NBA statistics via Model Context Protocol A Model Context Protocol (MCP) server that provides access to live and historical NBA data including player stats, game scores, team information, and advanced analytics. 1. Install the server: 2. Add to your Claude Desktop config file: MacOS: ~/Library/Application Support/Claude/claudedesktopconfig.json Windows: %APPDATA%/Claude/claude

A Model Context Protocol (MCP) server implementation for running Locust load tests. This server enables seamless integration of Locust load testing capabilities with AI-powered development environments. - Simple integration with Model Context Protocol framework - Support for headless and UI modes - Configurable test parameters (users, spawn rate, runtime) - Easy-to-use API for running Locust load

operative.sh's MCP Server launches a browser-use powered agent to autonomously execute and debug web apps directly in your code editor. - 🌐 Navigate your webapp using BrowserUse (2x faster with operative backend) - 📊 Capture network traffic - requests are intelligently filtered and returned into the context window - 🚨 Collect console errors - captures logs & errors - 🤖 Autonomous debugging - t

An MCP (Model Context Protocol) server that provides unified access to multiple Large Language Model APIs for AI coding environments like Cursor and Claude Desktop. - 🌐 8 LLM Providers – ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, Mistral - 🎯 Smart Model Selection – Tag-based preferences (coding, business, reasoning, math, creative, general) - 📊 Prompt Logging – Track all prompts

CSL-Core (Chimera Specification Language) is a deterministic safety layer for AI agents. Write rules in .csl files, verify them mathematically with Z3, enforce them at runtime — outside the model. The LLM never sees the rules. It simply cannot violate them. Originally built for Project Chimera, now open-source for any AI system. This doesn't work. LLMs can be prompt-injected, rules are probabilist

The GitHub MCP Server connects AI tools directly to GitHub's platform. This gives AI agents, assistants, and chatbots the ability to read repositories and code files, manage issues and PRs, analyze code, and automate workflows. All through natural language interactions. - Repository Management: Browse and query code, search files, analyze commits, and understand project structure across any reposi

An MCP (Model Context Protocol) server that brings live prediction market data into AI coding environments like Cursor and Claude Desktop. - 🆓 No API Keys – Works out of the box, zero configuration - 📈 Multi-Platform – Polymarket, PredictIt, and Kalshi in one interface - ⚡ Real-time Data – Current odds and prices from live markets - 🎯 Easy Setup – One-click install in Cursor or simple manual se

Version: 4.1.0 | License: MIT (open-core) Website & Docs: https://codeguardian.studio CCG stands out as the most comprehensive MCP server for Claude Code: Key Differentiators: - All-in-one: Guard + Metrics + Workflow + Memory in a single server - 113+ MCP tools: The most comprehensive toolset available - Session management: Resume work across conversations - Real-time progress: Track refactoring p

Apple Health MCP Server Apple Health Data Exploration Connect your Apple Health data with any LLM that supports MCP. Talk to your data and get personalised insights. This demo shows how Claude uses the apple-health-mcp-server to answer questions about your data. Example prompts from the demo: - I would like you to help me analyze my Apple Health data. Let's start by analyzing the data types - chec

MCP server to let LLM take full control on your device by providing screen automation toolkit for controlling and interacting with graphical user interfaces. Good for automation, education and having fun. - 📷 Screen capture and analysis - 🖱️ Mouse control (clicking, positioning) - ⌨️ Keyboard input (typing, key presses, hotkeys) 0. Install python 3.12 1. Clone the repository: 2. create virtiual

MCP Server for the Bitrise API, enabling app management, build operations, artifact management, and more. - Comprehensive API Access: Access to Bitrise APIs including apps, builds, artifacts, and more. - Authentication Support: Secure API token-based access to Bitrise resources. - Detailed Documentation: Well-documented tools with parameter descriptions. - VS Code - Installation for VS Code IDE -

CLI and MCP server for LinkedHelper automation. This project is brought to you by Alexey Pelykh. lhremote lets AI assistants (Claude, etc.) control LinkedHelper through the Model Context Protocol. It can: - App management — detect, launch, and quit LinkedHelper instances - Account & instance control — list accounts, start/stop instances, check status - Campaign automation — create, configure, star

日本語版 README はこちら Translation quality evaluation MCP Server powered by xCOMET (eXplainable COMET). xCOMET MCP Server provides AI agents with the ability to evaluate machine translation quality. It integrates with the xCOMET model from Unbabel to provide: - Quality Scoring: Scores between 0-1 indicating translation quality - Error Detection: Identifies error spans with severity levels (minor/major/c