LLM & AI Agent Skills

Lint any URL for LLM readiness. Get a 0-100 score for token efficiency, RAG readiness, agent compatibility, and LLM extraction quality. Context CLI is an LLM Readiness Linter that checks how well a URL is structured for AI consumption. As LLM-powered search engines, RAG pipelines, and AI agents become primary consumers of web content, your pages need to be optimized for token efficiency, structure

A Model Context Protocol server for Zotero integration. It gives any LLM full access to your Zotero library: search, organize, add papers by DOI, import PDFs, read full-text content, and inject live citations into Word documents. The server is designed to be usable by any LLM without external documentation. On connection, it sends workflow instructions via the MCP instructions field, and each tool

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.

Advanced search and retrieval for web crawler data. With mcp-server-webcrawl, your AI client filters and analyzes web content under your direction or autonomously. The server includes a fulltext search interface with boolean support, and resource filtering by type, HTTP status, and more. mcp-server-webcrawl provides the LLM a complete menu with which to search, and works with a variety of web craw

Investigate AI observability clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into individual traces within clusters.

The Unitree Go2 MCP Server is a server built on the Model Context Protocol (MCP) that enables users to control the Unitree Go2 robot using natural language commands interpreted by a Large Language Model (LLM). These commands are translated into ROS2 instructions, allowing the robot to perform corresponding actions. - Unitree Go2 robot - Ubuntu 20.04 or 22.04 - ROS2 environment : Humble(recommended

An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data. - osm-mcp-server: The main server, available for public use. This server provides LLMs with tools to interact with OpenStreetMap data, enabling location-based applications to: - Geocode addresses and place names to coordinates - Reverse geocode coordinates to addresses - Find

The open-source alternative to Google's Code Wiki — with MCP. Index any codebase with tree-sitter, generate docs with your LLM, serve them through a full-featured docs site, and expose everything as tools for coding agents via MCP. Like Notion for code agents. Index a project and generate documentation. Defaults to the current directory. Start the docs server. Manage API keys and provider settings

GenAI Agent Framework, the Pydantic way Documentation: ai.pydantic.dev FastAPI revolutionized web development by offering an innovative and ergonomic design, built on the foundation of Pydantic Validation and modern Python features like type hints. Yet despite virtually every Python agent framework and LLM library using Pydantic Validation, when we began to use LLMs in Pydantic Logfire, we couldn'

A tool similar to cloc, sloccount and tokei. For counting the lines of code, blank lines, comment lines, and physical lines of source code in many programming languages. Goal is to be the fastest code counter possible, but also perform COCOMO calculation like sloccount, LOCOMO estimation for LLM-based development costs, estimate code complexity similar to cyclomatic complexity calculators and prod

Enterprise-grade Chrome automation for AI agents with compliance-ready logging Enterprise Features • Compliance Logging • Security Features • Quick Start • Docker Deploy Built for corporate environments where security, compliance, and auditability are non-negotiable. SIEM-ready logging in industry-standard formats. Every tool execution, credential access, and security event is logged. - authentica

ScrapeBadger MCP Server Give your AI agents access to Twitter/X data via the Model Context Protocol ScrapeBadger MCP Server is a Model Context Protocol (MCP) server that enables AI assistants like Claude, ChatGPT, Cursor, Windsurf, and other MCP-compatible clients to access Twitter/X data through the ScrapeBadger API. With this MCP server, your AI can: - Get Twitter user profiles, followers, and f

The goal of this MCP is to: - Consolidate ESP-IDF and related project commands in one place. - Simplify getting started using only LLM communication. Simply find a command that is missing from this MCP and create a PR for it! If you want someone to help you with this implementation, just open an issue. This project is currently a Proof of Concept (PoC) for an MCP server tailored for ESP-IDF workfl

aka Vibe Debugging This is an MCP Server and VS Code extension which enables claude to interactively debug and evaluate expressions. That means it should also work with other models / clients etc. but I only demonstrate it with Claude Desktop and Continue here. It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode. 1. Download the extension from re

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

See a demo here: https://www.youtube.com/watch?v=KG6TMLD8GmA Upload, edit, search, and generate videos from everyone's favorite LLM and Video Jungle. You'll need to sign up for an account at Video Jungle in order to use this tool, and add your API key. The server implements an interface to upload, generate, and edit videos with: - Custom vj:// URI scheme for accessing individual videos and project

LLM evaluation and testing patterns including prompt testing, hallucination detection, benchmark creation, and quality metrics. Use when testing LLM applications, validating prompt quality, implementing systematic evaluation, or measuring LLM performance.

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

An MCP (Model Context Protocol) server that brings authoritative medical information into AI coding environments like Cursor and Claude Desktop. - 🔒 Your Data Never Leaves – Runs 100% locally; no tracking, no logs, no cloud - 🆓 No API Keys – Works out of the box, zero configuration - 🏥 Authoritative Sources – FDA, WHO, PubMed, RxNorm, Google Scholar, AAP, pediatric journals - ⚡ Easy Setup – One

A Model Context Protocol (MCP) server that allows interacting with the CipherTrust RestFul Data Protection (CRDP) service. This MCP server enables AI applications and LLMs to securely protect and reveal sensitive data through the CipherTrust CRDP service. It supports both individual and bulk protect and reveal operations with versioning support. - Video 1: [https://youtu.be/O2pQRoykaaU] - Deployme

A Model Context Protocol (MCP) server that provides access to the MongoDB Atlas API. This server wraps the mongodb-atlas-api-client package to expose MongoDB Atlas functionality through MCP tools. This MCP server exposes most of the mongodb-atlas-api-client surface as MCP tools. - userget — Get a database user by username - usergetall — List all database users - usercreate — Create a database user

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

An MCP (Model Context Protocol) server that provides comprehensive access to Ethereum Virtual Machine (EVM) JSON-RPC methods for AI coding environments like Cursor and Claude Desktop. - 🌐 Any EVM Network – Ethereum, Polygon, Arbitrum, Optimism, BSC, Avalanche, and more - 🔌 Any Node Provider – Infura, Alchemy, QuickNode, local nodes, or custom RPC - 📊 20+ RPC Methods – Complete access to blockch