GitHub AI Agent Skills

A Model Control Protocol (MCP) server for managing and serving dynamic prompt templates using elegant and powerful text template engine. Create reusable, logic-driven prompts with variables, partials, and conditionals that can be served to any compatible MCP client like Claude Code, Claude Desktop, Gemini CLI, VSCode with Copilot, etc. - MCP Compatible: Works out-of-the-box with any MCP client tha

An open source MCP (Model Context Protocol) server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments. - Quick Start - Prerequisites - Installation - Usage Examples - Configuration - Available Tools - Architecture - How It Works - MCP Client Integration - Performance Considerations - Troubleshooting -

Run your Miro workshops, retros, and planning sessions from the command line. Read boards, create stickies, organize frames, and generate diagrams through Claude, Cursor, or any MCP client. 98 tools | Single binary | All platforms | All major AI tools Homebrew (macOS/Linux): One-liner (macOS/Linux): Manual download: See SETUP.md for all platforms 1. Go to miro.com/app/settings/user-profile/apps 2.

下面是为你的 bilibili-mcp 工具生成的 README.md 示例： 一个用于获取 B 站热榜的 MCP 工具，基于 FastMCP 和 B 站公开接口。你可以通过注册到 Cursor 或其他 MCP 客户端，实时调用热门视频数据。 确保使用 Python ≥ 3.12，并安装以下依赖项： 你的主代码文件可以是 bilibilimcp.py，项目结构如下： 使用 uv 运行工具： FastMCP 会自动暴露一个名为 getpopular 的工具： 获取 B 站热榜视频信息，返回最多 topk 个条目（最大 10 条）。 - 使用 httpx 实现异步请求 - 通过 FastMCP 注册为标准 MCP 工具 - 支持通过 stdio 与 MCP 客户端通信（例如 Cursor） - 仅用于学习与研究，B 站接口为公开接口，使用时请避免过于频繁访问。 - 默认 User-Agent

A Model Context Protocol server for the QA Sphere test management system. This integration enables Large Language Models (LLMs) to interact directly with QA Sphere test cases, allowing you to discover, summarize, and chat about test cases. In AI-powered IDEs that support MCP, you can reference specific QA Sphere test cases within your development workflow. - Node.js (recent LTS versions) - QA Sphe

SmartDB is a universal database gateway that implements the Model Context Protocol (MCP) server interface. This gateway allows MCP-compatible clients to connect and explore different databases. Compared to similar products, SmartDB not only provides basic database connection and exploration capabilities but also adds advanced features such as OAuth 2.0 authentication , health checks, SQL optimizat

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

An MCP server for tracking and managing cryptocurrency portfolio allocations, enabling AI agents to query and optimize portfolio strategies in real time. - Portfolio Management: Add and track cryptocurrency holdings with real-time Binance prices. - Price Retrieval: Fetch current prices for any Binance trading pair (e.g., BTC/USDT). - Value History: Generate visual charts of portfolio value over ti

Version: v0.2.0 An MCP server that provides access to the Postman API. Functionality is based on the official OpenAPI specification. For more information, see the Postman API documentation. This project is part of the Model Context Protocol (MCP) initiative from Anthropic. For more information, visit the MCP GitHub repository and the announcement on the Anthropic blog. Skip ahead to install instru

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

Run simulated people (proxies) from an org against Mermaid charts, wireframes, flows, and designs. Verbs are use, meeting, redteam, prep, followup, compare, ask, talk, calibrate, new, clone, org new, export, import, and pages. Use when the user types /proxies or asks to run a meeting, red team, or question with the proxies in this repo.

1 subagent · installable as Plugin

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 that standardizes and contextualizes Modbus data, enabling seamless integration of AI agents with industrial IoT systems. - Modbus Tools: - Read/write holding registers (readregister, writeregister). - Read/write coils (readcoils, writecoil). - Read input registers (readinputregisters). - Read multiple holding registers (readmultipleholdingregisters). - Prompt: Analyze Modbus registe

Hard-edged writing style contract for timeless, forceful English prose without AI tics

audit-prompt-caching is a portable Codex/agent skill for finding why LLM cache reuse fails across the request path: prompt/prefix caches, provider cache telemetry, cache-aware routing, agent tool stability, Bedrock checkpoints, OpenRouter routing drift, provider migration risk, and vLLM/SGLang KV reuse. LLM cache reuse usually fails silently. A timestamp in the system prompt, shuffled tool schemas

A Model Context Protocol server for generating charts using AntV. We can use this mcp server for chart generation and data analysis. This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools. You can also use it in Dify. - ✨ Features - 🎨 Skill Usage - 🚰 Run with SSE or Streamable transport - 🎮 CLI Options

   Give AI assistants (Claude, Cursor, VS Code, etc.) the ability to control your desktop and automate tasks across any application. Claude Code (one-liner): Other clients (Cursor, VS Code, Windsurf, etc.): Add to your MCP config file: See the MCP Agent README for detailed setup instructions. - Uses your browser session - no need to relogin, keeps all your cookies and auth - Doesn't take

Work with a user's Semantic Scholar account to read Research Feeds, inspect private Library folders, add papers to folders, and resolve Semantic Scholar paper records from identifiers such as arXiv IDs.

An MCP server that tracks real-time data for major crypto-related stocks to help AI agents analyze blockchain investment opportunities. - List Crypto Stocks: Retrieve a list of crypto-related stocks (e.g., Coinbase, MicroStrategy) in a table format. - Real-Time Prices: Fetch the latest price for a specific stock, including ticker, company name, price, and timestamp. - Historical Data: Access histo

if macbook or linux If the network is slow, you can set up a domestic mirror source. Method 1: On the setting page of cherry-studio, click on the MCP server, then click "Add Server", and subsequently configure it on the page. Method 2: Use the configuration parameters

Spreadsheet automation for AI agents. Read, profile, edit, and recalculate .xlsx workbooks with tooling designed to be token-efficient, structurally aware, and agent-friendly. spreadsheet-kit ships two surfaces: Both share the same core engine and support .xlsx / .xlsm (read + write) and .xls / .xlsb (discovery only). Downloads a prebuilt native binary for your platform. No Rust toolchain required

Local-first MCP runtime for multi-agent consensus guard workflows — AI code review, weighted voting, HITL approval gates, and full observability on SQLite. MCP stdio mode (Claude Desktop, OpenClaw, etc.): Prerequisites: Node.js 20+, npm 10+. Optional: gh CLI (for GitHub PR triggers), OpenAI API key (falls back to deterministic heuristics without one). Any model accessible via the OpenAI or Anthrop

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

mcp-name: io.github.henilcalagiya/google-sheets-mcp Google Sheets MCP Server provides seamless integration of Google Sheets with any MCP-compatible client. It enables full spreadsheet automation — including creating, reading, updating, and deleting sheets — through a simple and secure API layer. - Full CRUD support for Google Sheets and tables - Works with Continue.dev, Claude Desktop, Perplexity,