LLM & AI Agent Skills

This MCP let's you play chess against any LLM. To use this chess server, add the following configuration to your MCP config: Play a game: Find a position in a PGN for game analysis: The server provides the following tools: getboardvisualization(): Provides the current state of the chessboard as an image. The board orientation automatically flips based on the user's assigned color. getturn(): Indic

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

What is GitMCP • Features • Getting Started • How It Works • Examples • Contributing • Stop vibe-hallucinating and start vibe-coding! GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that transforms any GitHub project (repositories or GitHub pages) into a documentation hub. It enables AI tools like Cursor to access up-to-date documentation and code, even if the LLM has nev

🚀 1:1 Optimized Rust Implementation of WCGW (What Could Go Wrong) 🚀 Winx is a specialized Model Context Protocol (MCP) server that provides high-performance tools for LLM code agents. It implements the core functionality of WCGW in pure Rust for maximum efficiency and stability. Benchmarks on i9-13900K + RTX 4090 (WSL2) - Rust 1.75+ - Linux / macOS / WSL2 Add to ~/.config/Claude/claudedesktopcon

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa

A local-first CLI that orchestrates multi-agent AI workflows for software development. Give it a task — or feed it your specs, PRDs, and guidelines — and it coordinates specialized agents to architect, code, review, test, and ship automatically. No cloud dependency. Bring your own API keys. Your code stays on your machine. Each stage uses a specialized AI agent with tuned prompts and parameters. T

Dead simple MCP (Model Context Protocol) server for Toggl time tracking. Control your Toggl timer directly from Claude, ChatGPT, or any LLM that supports MCP. - ⏱️ Start/stop timers - 📊 View current timer - 📈 Get today's time entries - 🗂️ List projects - 🗑️ Delete time entries Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claudedesktopconfig.json): 1. Go to Tog

Smart context management for LLM development workflows. Share relevant project files instantly through intelligent selection and rule-based filtering. Getting the right context into LLM conversations is friction-heavy: - Manually finding and copying relevant files wastes time - Too much context hits token limits, too little misses important details - AI requests for additional files require manual

Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clarity-Gated Documents) and validates SOT (Source of Truth) files.

Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task.

A Deno monorepo containing packages for iMessage access on macOS: - @wyattjoh/imessage - Core library for read-only iMessage database access - @wyattjoh/imessage-mcp - Model Context Protocol (MCP) server for LLM integration - Search messages by text content, contact, or date range - Get recent messages - List all chats/conversations - Get all contacts/handles - Retrieve messages from specific chat

A Model Context Protocol (MCP) server for YouTube integration. Retrieve video transcripts, details, and metadata using YouTube's Data API. Get instant access to YouTube with our managed infrastructure - no setup required: 🔗 Get Free API Key → API Key Setup: Get your YouTube Data API key from the Google Cloud Console and enable the YouTube Data API v3. - Video Transcripts: Retrieve full video tran

MKP is a Model Context Protocol (MCP) server for Kubernetes that allows LLM-powered applications to interact with Kubernetes clusters. It provides tools for listing and applying Kubernetes resources through the MCP protocol. - List resources supported by the Kubernetes API server - List clustered resources - List namespaced resources - Get resources and their subresources (including status, scale,

Connect Open Data to LLMs in minutes! We enable 2 things: Open Data Access: Access to many public datasets right from your LLM application (starting with Claude, more to come). Publishing: Get community help and a distribution network to distribute your Open Data. Get everyone to use it! How do we do that? Access: Setup our MCP servers in your LLM application in 2 clicks via our CLI tool (starting

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

Piston MCP Server piston-mcp is an MCP server that allows LLMs to connect to and execute code using Piston . You can try out piston-mcp locally without cloning it. To try out piston-mcp you'll need to install uv: You will also need to download an MCP client to connect to piston-mcp, such as Claude Desktop. Update the MCP client's configuration with the following configuration to connect to piston-

An MCP server for Timeplus. generatesql to give LLM more knowledge about how to query Timeplus via SQL - Execute SQL queries on your Timeplus cluster. - Input: sql (string): The SQL query to execute. - By default, all Timeplus queries are run with readonly = 1 to ensure they are safe. If you want to run DDL or DML queries, you can set the environment variable TIMEPLUSREADONLY to false. listdatabas

Transform how you work with Bitbucket by connecting Claude, Cursor AI, and other AI assistants directly to your repositories, pull requests, and code. Get instant insights, automate code reviews, and streamline your development workflow. - Ask AI about your code: "What's the latest commit in my main repository?" - Get PR insights: "Show me all open pull requests that need review" - Search your cod

   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

Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol. Quick demo of Langfuse Prompts MCP in Claude Desktop (unmute for voice-over explanations): This server implements the MCP Prompts specification for prompt discovery and retrieval. - prompts/list: List all available prompts - Optio

MongoDB Lens is a local Model Context Protocol (MCP) server with full featured access to MongoDB databases using natural language via LLMs to perform queries, run aggregations, optimize performance, and more. - Quick Start - Installation - Configuration - Client Setup - Data Protection - Test Suite - Disclaimer - Install MongoDB Lens - Configure MongoDB Lens - Set up your MCP Client (e.g. Claude D

An MCP (Model Context Protocol) server that connects your Mendeley reference library to LLM applications like Claude Desktop, Cursor, and other MCP-compatible clients. - Search your library - Find papers by title, author, abstract, or notes - Browse folders - Navigate your collection structure - Get full metadata - Retrieve complete document details including abstracts - Search global catalog - Ac

English · 简体中文 · 日本語 👋 join us on Discord and WeChat If you like Dingo, please give us a ⭐ on GitHub! Dingo is A Comprehensive AI Data, Model and Application Quality Evaluation Tool, designed for ML practitioners, data engineers, and AI researchers. It helps you systematically assess and improve the quality of training data, fine-tuning datasets, and production AI systems. 🎯 Production-Grade Qua

An MCP (Model Context Protocol) server that provides access to the OSV (Open Source Vulnerabilities) database. This project implements an SSE-based MCP server that allows LLM-powered applications to query the OSV database for vulnerability information. The server provides tools for: 1. Querying vulnerabilities for a specific package version or commit 2. Batch querying vulnerabilities for multiple