GitHub AI Agent Skills

- Requirements - Entity Operations - Telemetry Management - Relations - OTA Packages - Entity Data Query - Quick Start Guide - Installation - Docker Image - Build from Sources - Client Configuration - Binary Configuration - Docker Configuration - Environment Variables - Tool Groups Configuration - Available Tools - Device Tools - Asset Tools - Customer Tools - User Tools - Alarm Tools - OTA Tools

DevDocs-MCP is a Model Context Protocol (MCP) server that provides version-pinned, deterministic documentation sourced from DevDocs.io to AI assistants (Claude, RooCode, Cline, Copilot etc.). It acts as a local Documentation Intelligence Layer, ensuring your agent always has the correct API context without network latency or training data drift. This server follows the proposed MCP server standard

An MCP server that provides real-time whale alerts on Hyperliquid, flagging positions with a notional value exceeding $1 million. - Tool: getwhalealerts: Fetches recent whale transactions and returns them as a Markdown table using pandas for clean formatting. - Prompt: summarizewhaleactivity: Generates a summary of whale transactions, including metrics like total position value and notable symbols

Progressive disclosure for MCP - Minimal context bloat with on-demand tool discovery and dynamic server provisioning. When Claude Code connects directly to multiple MCP servers (GitHub, Jira, DB, etc.), it loads all tool schemas into context. This causes: - Context bloat: Dozens of tool definitions consume tokens before you even ask a question - Static configuration: Requires Claude Code restart t

🎨 Pixelle MCP - Omnimodal Agent Framework English | 中文 ✨ An AIGC solution based on the MCP protocol, supporting both local ComfyUI and cloud ComfyUI (RunningHub) modes, seamlessly converting workflows into MCP tools with zero code. - ✅ 2025-09-29: Added RunningHub cloud ComfyUI support, enabling workflow execution without local GPU and ComfyUI environment - ✅ 2025-09-03: Architecture refactoring

👋 A way to let LLMs speak Just A production-ready MCP server that provides seamless integration with Just command runner, enabling AI assistants to discover, execute, and introspect Justfile recipes through the standardized MCP protocol. If it isn't immediately obvious, the benefit of having LLMs use Just vs. bash is that running Just commands (via MCP) provides a context-saving abstraction where

GXtract is a Model Context Protocol (MCP) server designed to integrate with VS Code and other compatible editors. It provides a suite of tools for interacting with the GroundX platform, enabling you to leverage its powerful document understanding capabilities directly within your development environment. - Architecture - Prerequisites - Installing UV - Quick Start: VS Code Integration - Available

- 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

MCP server for Bitbucket API operations. Works with Claude Code, Claude Desktop, Cursor, and any MCP-compatible client. This repository contains both TypeScript and Python implementations: - Repositories: get, create, delete, list, update (move to project, rename) - Pull Requests: create, get, list, merge, approve, decline, request changes, comments, diff - Pipelines: trigger, get status, list, vi

English Version 一个用于与语雀 API 集成的 Model-Context-Protocol (MCP) 服务器。此实现受 Figma-Context-MCP 的启发，并使用 语雀开放 API。 该服务器提供了与语雀知识库平台交互的 MCP 工具，允许 AI 模型： - 获取用户和文档信息 - 创建、读取、更新和删除文档 - 获取统计数据和分析信息 要使用 Smithery 将 Yuque MCP Server 自动安装到 Claude 桌面端： - Node.js 18+ (推荐) - 拥有 API 令牌的语雀账号 3. 基于 .env.example 创建 .env 文件： 4. (可选) 在 .env 文件中添加你的语雀 API 令牌： 你也可以选择在连接到服务器时通过查询参数提供令牌，而不是在 .env 文件中设置。 然后在 HTTP 或 CLI 模式下运行： 本项

A Model Context Protocol (MCP) server that provides access to GitHub's GraphQL API. This server exposes a single tool that allows executing arbitrary GraphQL queries and mutations against GitHub's API. - Execute any GraphQL query against GitHub's API - Comprehensive error handling and reporting - Detailed documentation with example queries - Support for variables in GraphQL operations - Python 3.1

Own your AI. Agents, memory, tools, and identity that live on your Mac. Built purely in Swift. Fully offline. Open source. Download for Mac · Plugin Registry Models are getting cheaper and more interchangeable by the day. What's irreplaceable is the layer around them -- your context, your memory, your tools, your identity. Others keep that layer on their servers. Osaurus keeps it on your machine.

Multi-agent research skill for parallel research execution (10 agents, battle-tested with real case studies).

tip.md is a platform that allows developers to receive cryptocurrency tips directly to their wallets via a simple button embeddable in GitHub READMEs, websites, or any markdown content. It supports: - Multiple Blockchains: Ethereum, Base,Solana, and Bitcoin Lightning Network - Direct-to-Wallet Payments: Tips go straight to your wallet, no custody - Simple Integration: One button, works everywhere

An MCP server for managing and sharing your personal knowledge, daily notes, and reuseable prompts via GitHub Gists. It's a companion to the GistPad VS Code extension and GistPad.dev (for web/mobile), which allows you to access and edit your gists from any MCP-enabled AI product (e.g. GitHub Copilot, Claude Desktop). - 🏃 Getting started - 🛠️ Included tools - 📁 Included resources - 💬 Reusable p

An MCP server for nearby place searches with IP-based location detection. - IP-based Location Detection: Uses ipapi.co to determine your current location - Google Places Integration: Searches for nearby places based on keywords and optional type filters - Simple Interface: Single tool endpoint with customizable radius - Python 3.10+ - Google Cloud Platform API Key with Places API enabled - Interne

A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools. - Query supported Kubernetes resource types (built-in resources and CRDs) - Kubernetes resource operations with fine-grained control - Read operations: get resource details, list resources by type with filtering options - Write operations: create, update, and delete resources (each

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

A Model Context Protocol (MCP) server that provides comprehensive access to MLB statistics and baseball data through a FastMCP-based interface. This MCP server acts as a bridge between AI applications and MLB data sources, enabling seamless integration of baseball statistics, game information, player data, and more into AI workflows and applications. - Current standings for all MLB teams with flex

Open source feedback for teams that ship. The open-source alternative to Canny, UserVoice, and Productboard. Collect feedback. Prioritize what matters. Close the loop. Website · Docs · Get Started Cloud coming soon at quackback.io. Join the waitlist. Self-hosted anywhere with Docker or one click on Railway. Most feedback tools are expensive, closed-source, and lock you in. Quackback

MCP (Model Context Protocol) server for SynergyAge database This server implements the Model Context Protocol (MCP) for SynergyAge, providing a standardized interface for accessing synergistic genetic intervention and aging research data. MCP enables AI assistants and agents to query comprehensive longevity datasets through structured interfaces. The server automatically downloads the latest Syner

An MCP (Model Context Protocol) server that enables AI platforms to interact with YepCode's infrastructure. Run LLM generated scripts and turn your YepCode processes into powerful tools that AI assistants can use directly. - Seamless AI Integration: Convert YepCode processes into AI-ready tools with zero configuration - Real-time Process Control: Enable direct interaction between AI systems and yo

Manage Linear issues, projects, and teams

Multi-agent orchestration platform for enterprise AI development. Run 12+ AI agents concurrently with full governance, Gemini-powered code review, and enforced quality gates. Solves coordination, verification, and metrics challenges that stall enterprise AI adoption.