GitHub AI Agent Skills

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

A Model Context Protocol (MCP) server for interacting with GitLab merge requests and issues. This project implements a server using the Model Context Protocol (MCP) that allows AI agents to interact with GitLab repositories. It provides tools for: - Listing available GitLab projects - Fetching merge request details and comments - Getting merge request diffs - Adding comments to merge requests - Ad

Generate AI images, videos, and music with deterministic pricing. No setup required – start generating in 2 minutes: 1. Create Agent → Get your API key instantly 2. Add Funds → Start from $1 3. Generate → Start creating images, videos, and music VAP is an MCP server that enables image, video, and music generation directly from agentic workflows. It exposes generative media capabilities as portable

This repo contains the source code for running a local MCP server that interacts with APIs for Google Analytics. Join the discussion and ask questions in the 🤖-analytics-mcp channel on Discord. The server uses the Google Analytics Admin API Google Analytics Data API to provide several Tools for use with LLMs. - getaccountsummaries: Retrieves information about the user's Google Analytics accounts

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.

The wizzy-mcp-tmdb project is an MCP (Model Context Protocol) server implemented in JavaScript that provides tools to search and retrieve information from The Movie Database (TMDB). It allows AI clients to access movie, TV show, and person data through a standardized protocol. - Search Movies: Perform multi-search across movies, TV shows, and people using the searchtmdb tool. - Get Details: Fetch

Enable MCP features for any Gin API with a line of code. Gin-MCP is an opinionated, zero-configuration library that automatically exposes your existing Gin endpoints as Model Context Protocol (MCP) tools, making them instantly usable by MCP-compatible clients like Cursor , Claude Desktop , Continue , Zed , and other MCP-enabled tools. Our philosophy is simple: minimal setup, maximum productivity .

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.

An MCP (Model Context Protocol) server that connects Claude with Todoist for complete task and project management through natural language. 1. Download todoist-mcp.mcpb from the latest release 2. Double-click the file (or drag onto Claude Desktop) 3. Enter your Todoist API token when prompted 4. Start chatting: "Show me my Todoist projects" Manual JSON configuration Add to your MCP client config (

The LeetCode MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with LeetCode APIs, enabling advanced automation and intelligent interaction with LeetCode's programming problems, contests, solutions, and user data. - 🌐 Multi-site Support: Support​ both leetcode.com (Global) and leetcode.cn (China) platforms - 📊 Problem Data Retrieval: Obtain detailed problem d

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

Live handbook: https://girijashankarj.github.io/cursor-handbook/ The open-source rules engine for Cursor IDE — 117 components (rules, agents, skills, commands, hooks) that turn your AI into a senior engineer who follows your standards, knows your codebase, and never wastes a token. If cursor-handbook helps you, consider giving it a ⭐ — it helps others discover it. - Ways to use - The Problem -

An MCP server that connects to OPC UA-enabled industrial systems, allowing AI agents to monitor, analyze, and control operational data in real time. This project is ideal for developers and engineers looking to bridge AI-driven workflows with industrial automation systems. - Read OPC UA Nodes: Retrieve real-time values from industrial devices. - Write to OPC UA Nodes: Control devices by writing va

- 🎯 Quick Start - Become an x402 Champion - 📚 Official Resources - 📖 Protocol Documentation - 🚀 Quickstart Guides - ⚙️ Protocol Implementations - 🏭 Production Implementations - 🛠️ SDKs & Client Libraries - 🔧 Server Frameworks & Middleware - 🏗️ Facilitators - 💡 Example Applications - 🎨 Use Cases & Patterns - 🤖 AI Agent Integration - 🔨 Tools & Utilities - 🧪 Testing & Development - 📚 Tu

A Model Context Protocol (MCP) server enabling AI agents to query information about dependencies in a Ruby project's Gemfile. Built with fast-mcp. Install the gem and add to the application's Gemfile by executing: 1. Generate the binstub: 2. Configure your client to execute the binstub. Here are examples that work for Claude and Cursor: Available on RubyDoc The server provides two tools for AI age

light weight MCP for code that just works A super light-weight, effective embedded MCP (AST-based) that understand and searches your codebase that just works! Using CocoIndex - an Rust-based ultra performant data transformation engine. No blackbox. Works for Claude, Codex, Cursor - any coding agent. - Instant token saving by 70%. - 1 min setup - Just claude/codex mcp add works! Please help star

Download the MCPBundles Hub .mcpb file directly: Download hub.mcpb This .mcpb package contains a pre-configured MCP server proxy that connects to the MCPBundles Hub endpoint. Once installed, your AI assistant can discover and execute tools from all your enabled bundles. MCP Bundles is the simplest way to connect AI assistants to real-world tools. Instead of configuring hundreds of individual MCP s

⚡ Fully automated MCP server built on top of apktool to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, parse manifests, and reverse engineer effortlessly. Image generated using AI tools. apktool-mcp-server is a MCP server for the Apk Tool that integrates directly with Model Context Protocol (MCP) to provide live reverse engineering support with LLMs like Claude. Think: "Dec

A Streamable-HTTP MCP Server that uses memvid to encode text data into videos that can be quickly looked up with semantic search. Supported Actions: - addchunks: Adds chunks to the memory video. Note: each time you add chunks, it resets the memory.mp4. Unsure if there is a way to incrementally add. - search: queries for the top-matching chunks. Returns 5 by default, but can be changed with topk pa

An MCP server that delivers cryptocurrency sentiment analysis to AI agents, leveraging Santiment's aggregated social media and news data to track market mood and detect emerging trends. - Sentiment Analysis: Retrieve sentiment balance (positive vs. negative) for specific cryptocurrencies. - Social Volume Tracking: Monitor total social media mentions and detect significant shifts (spikes or drops).

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

Index and search culture documentation

👋 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

Update properties or content across many pages in a Notion database with dry-run and error recovery