GitHub AI Agent Skills

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

This is an MCP server that analyzes the screen with OmniParser and automatically operates the GUI. Confirmed on Windows. This is MIT license, but Excluding submodules and sub packages. OmniParser's repository is CC-BY-4.0. Each OmniParser model has a different license (reference). 1. Please do the following: (Other than Windows, use export instead of set.) (If you want langchainexample.py to work,

日本語版 READMEはこちら Model Context Protocol (MCP) server implementation that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account. 1. pushtextmessage - Push a simple text message to a user via LINE. - userId (string?): The user ID to receive a message. Defaults to DESTINATIONUSERID. Either userId or DESTINATIONUSERID must be set. - message.text (string): The plain text

1. 入门示例: tablestore-java-mcp-server 2. 基于 MCP 架构实现知识库答疑系统: tablestore-java-mcp-server-rag - 实现一个目前最常见的一类 AI 应用即答疑系统，支持基于私有知识库的问答，会对知识库构建和 RAG 做一些优化。 1. 入门示例: tablestore-python-mcp-server 1. Mem0-OpenMemory-MCP: tablestore-python-mem0-mcp-server 欢迎加入我们的钉钉公开群，与我们一起探讨 AI 技术。钉钉群号：36165029092

An MCP server that aggregates real-time cryptocurrency news from multiple RSS feeds, helping AI agents make informed decisions in a fast-paced market. - Feed Retrieval: Fetches latest entries from specified RSS feeds, formatting them as Markdown with plain-text summaries. - Keyword Filtering: Filters feeds by keyword in descriptions or categories. - OPML Support: Import feed list from a local OPML

One Codebase. REST for Humans, MCP for AI Agents. Laravel Restify turns your Eloquent models into both JSON:API endpoints and MCP servers -- automatically. Build once, and instantly serve APIs that work seamlessly for developers, apps, and AI agents. Traditional API development requires separate implementations for different consumers. Laravel Restify changes that: - Humans get full-featured JS

An MCP server that tracks Bitcoin's Unspent Transaction Outputs (UTXO) and block statistics, giving AI agents direct access to essential on-chain data. - getutxo: Retrieves UTXO details for a given Bitcoin address, including the number of UTXOs, total value in BTC, and transaction details. - getblockstats: Fetches transaction statistics for a specific Bitcoin block, including block hash, transacti

Deploy Expo apps to production

A Model Context Protocol (MCP) server for Airtable with full CRUD operations, schema management, record comments, webhooks, batch operations, governance controls, and AI-powered analytics. Version 4.0.0 | MCP Protocol 2024-11-05 | No installation required — just add this to your Claude Desktop config and restart: macOS: ~/Library/Application Support/Claude/claudedesktopconfig.json Windows: %APPDAT

Lab environment for Claude superpowers

A Model Context Protocol (MCP) implementation that enables secure interaction with MySQL databases. This server component facilitates communication between AI applications (hosts/clients) and MySQL databases, making database exploration and analysis safer and more structured through a controlled interface. - List available MySQL tables as resources - Read table contents - Execute SQL queries with

A Model Context Protocol (MCP) server for accessing the Climatiq API to calculate carbon emissions. This allows AI assistants to perform real-time carbon calculations and provide climate impact insights. This MCP server integrates with the Climatiq API to provide carbon emission calculations for AI assistants: - set-api-key: Configure the Climatiq API key used for authentication - electricity-emis

A Model Context Protocol (MCP) server for GreptimeDB — an open-source, cloud-native, unified observability database. Enables AI assistants to query and analyze GreptimeDB using SQL, TQL (PromQL-compatible), and RANGE queries, with built-in security features like read-only enforcement and data masking. For Claude Desktop, add this to your config (~/Library/Application Support/Claude/claudedesktopco

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

Stage, commit, and push git changes with conventional commit messages. Use when user wants to commit and push changes, mentions pushing to remote, or asks to save and push their work. Also activates when user says "push changes", "commit and push", "push this", "push to github", or similar git workflow requests.

A Claude Code skill that integrates the powerful web fuzzer ffuf (Fuzz Faster U Fool) for web security testing and reconnaissance tasks. This skill enables Claude Code to perform intelligent web fuzzing operations using ffuf, making it easier to discover hidden directories, files, subdomains, and API endpoints. - ffuf must be installed on your system - Claude Desktop application - Appropriate auth

Turn any CLI tool into an MCP server. Uses the --help to build MCP tools. Works with any CLI tool that has --help output. Build a cache first for better performance:

Persistent memory and knowledge management. Use at session start to load context, when the user asks about past work or stored knowledge, and when saving important information for future sessions.

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

Generate workflow JSON files for chaining AI models

MCP server providing AI assistants with full Datadog observability access. Features grep-like log search, APM trace filtering with duration/status/error queries, smart sampling modes for token efficiency, and cross-correlation between logs, traces, and metrics. Use environment variables instead of container args: When running with --transport=http: - POST /mcp — MCP protocol endpoint - GET /mcp —

mcp-name: io.github.wmarceau/fitness-influencer AI-powered automation suite for fitness content creators. Automates video editing, graphics creation, email management, SMS communication, and revenue analytics. Production URL: https://fitness-influencer-production.up.railway.app (if deployed) When running the API server: Located at: .claude/skills/fitness-influencer-operations/SKILL.md Trigger phra

Beautiful diff visualization for Claude Desktop. Transform code diffs into stunning visual comparisons with GitHub Gist integration and local file output. - 🎨 Beautiful HTML diff visualization using diff2html - 🌐 GitHub Gist integration for instant sharing - 📁 Local file output (PNG/HTML) - 🔄 Auto-delete functionality for temporary diffs - 🖥️ Cross-platform support (Windows, macOS, Linux) - ⚡

mcp-difyworkflow-server is an mcp server Tools application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify workflows. - "base-url":"http://localhost/v1" The base URL of the Dify platform api server url. - "command":"mcp-difyworkflow-server" You can specify the absolute path for the compiled binary, or create a symbolic link wit