GitHub AI Agent Skills

Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.

A powerful Model Context Protocol (MCP) server that gives AI real-time vision capabilities and enhanced UI intelligence. Transform your AI assistant into a visual powerhouse that can see, analyze, and interact with your screen content. ScreenMonitorMCP v2 is a revolutionary MCP server that bridges the gap between AI and visual computing. It enables AI assistants to capture screenshots, analyze scr

A Model Context Protocol (MCP) server providing geospatial tools for AI agents. Enables Claude, GPT, and other LLMs to perform geocoding, routing, spatial analysis, and file operations. - Geocoding: Convert addresses to coordinates and vice versa (via Nominatim/OSM or Pelias) - Batch Geocoding: Geocode multiple addresses in a single request (up to 10) - Elevation Data: Get altitude for points and

mcp-name: io.github.wmarceau/rideshare-comparison Compare Uber and Lyft prices for any route using Claude Desktop. Add to your claudedesktopconfig.json: Compare Uber and Lyft prices for a specific route. Example prompt: "Compare Uber and Lyft prices from SFO airport to downtown San Francisco" Get a list of cities with rideshare pricing data. Example prompt: "Which cities are supported for rideshar

An MCP server to use radare2 with AI agents such as OpenCode, Mai, VSCode, Claude, CLION, ... This implementation provides: - 💻 Fully written in C using the native r2 APIs - 🧩 Works from the CLI, as an r2 plugin and as an MCP server - 🔍 Seamless binary analysis with radare2 - 🔗 Connect to any local or remote r2/iaito session via r2pipe - 🔒 Supports readonly mode, sandbox lock and restrict too

Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.

👋 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

Panther's Model Context Protocol (MCP) server provides functionality to: 1. Write and tune detections from your IDE 2. Interactively query security logs using natural language 3. Triage, comment, and resolve one or many alerts Scheduled Queries Global Helpers Data Models Users & Access Management Follow these steps to configure your API credentials and environment. 1. Create an API token in Panthe

MCP Server for IBGE (Brazilian Institute of Geography and Statistics) APIs. 🇧🇷 Leia em Português This server implements the Model Context Protocol (MCP) to provide access to IBGE's public APIs, enabling AI assistants to query geographic, demographic, and statistical data from Brazil. - 23 specialized tools covering all major IBGE data domains - 227 automated tests with 97%+ core coverage - Autom

knowledge-to-action-mcp is an MCP server for people whose real project context lives in notes, decisions, roadmaps, and meeting docs, not just code. Most Obsidian MCP servers stop at "read a note" or "search a vault." This one goes further: That means an MCP client can move from: If you work out of Obsidian, your important context is usually spread across: - roadmap notes - meeting notes - decisio

LLMs rely on outdated or generic information about the libraries you use. You get: - ❌ Code examples are outdated and based on year-old training data - ❌ Hallucinated APIs that don't even exist - ❌ Generic answers for old package versions Context7 MCP pulls up-to-date, version-specific documentation and code examples straight from the source — and places them directly into your prompt. Add use con

Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). Supports both Cloud and Server/Data Center deployments. Confluence Demo Go to https://id.atlassian.com/manage-profile/security/api-tokens and create a token. Add to your Claude Desktop or Cursor MCP configuration: Ask your AI assistant to: - "Find issues assigned to me in PROJ project" - "Search Confluence for onboar

This repository is no longer maintained. The core functionality has been integrated into all IntelliJ-based IDEs since version 2025.2. The built-in functionality works with SSE and JVM-based proxy (for STDIO) so this NPM package is no longer required. Migration: Please refer to the official documentation for details on using the built-in functionality. Issues & Support: For bugs or feature request

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details. This MCP server is free and open source, supported by Unipile. It runs locally with your own browser session. Unipile is the fully managed cloud alternative: a hosted LinkedIn API for Classic, Sales Navigator, and Recru

A Model Context Protocol (MCP) server that provides tools to manage and interact with your LocalStack for AWS container for simplified local cloud development and testing. The LocalStack MCP Server provides simplified integration between MCP-compatible apps and your local LocalStack for AWS development environment, enabling secure and direct communication with LocalStack's emulated services and ad

Opik MCP Server Model Context Protocol (MCP) server for Opik , with both local stdio and remote streamable-http transports. Website • Slack community • Twitter • Documentation Opik MCP Server gives MCP-compatible clients one interface for: - Prompt lifecycle management - Workspace, project, and trace exploration - Metrics and dataset operations - MCP resources and resource templates for metadata-a

Turn URLs into clean markdown or structured JSON with one engine for search, scrape, map, crawl, and extract. Run it locally as a small Rust binary or use the managed API. Get 1000 free credits → · Install · No credit card. Continue with GitHub. Runs local and free, no account needed. To use the Cloud, paste your key into the same command and it installs the binary, connects the key, and registers

The ultimate Rust SDK and high-performance MCP server for Obsidian-flavored Markdown (.ofm) and standard .md vaults. TurboVault is a dual-purpose toolkit designed for both developers and users. It provides a robust, modular Rust SDK for building applications that consume markdown directories, and a full-featured MCP server that works out of the box with Claude and other AI agents. Build your own a

An MCP server that provides AI agents with structured, real-time data on cryptocurrency investment funds, enabling deeper due diligence and portfolio intelligence. - Tools for Data Access: - getallfunds(): Retrieve a complete list of all investors and funds. - searchfunds(tier, type, sortBy, sortDirection, limit, skip): Search and filter funds with sorting and pagination. - getfundbasic(fundid): G

Make your meetings accessible to AI Agents 🤖 joinly.ai is a connector middleware designed to enable AI agents to join and actively participate in video calls. Through its MCP server, joinly.ai provides essential meeting tools and resources that can equip any AI agent with the skills to perform tasks and interact with you in real time during your meetings. - Live Interaction: Lets your agents exec

Typst MCP Server is an MCP (Model Context Protocol) implementation that helps AI models interact with Typst, a markup-based typesetting system. The server provides tools for converting between LaTeX and Typst, validating Typst syntax, and generating images from Typst code. The server provides the following tools: 1. listdocschapters(): Lists all chapters in the Typst documentation. - Lets the LLM

One-off HLS encoding (local video -> HLS renditions + playlist) using Transloadit via the `transloadit` CLI. Prefer builtin templates (`builtin/encode-hls-video@latest`) and download outputs locally via `-o`.

Wrap MCP stdio servers with a WebSocket. For use with kibitz. Install uv: The config file specifies which MCP servers to run. The default config (no --config or --command args provided) includes: - wcgw: For general system operations and file management - fetch: For making HTTP requests To make a configuration file: 1. Create your configuration file: 2. Modify config.json to add or remove servers