GitHub AI Agent Skills

   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

A local vector memory explorer with a modern UI inspired by Supabase and Pinecone. Browse, search, visualize and manage the SQLite-vec database created by MCP Memory Service . I'm a sysadmin by trade, not a developer. My coding background is some C++ from many years ago. I built memviz entirely through vibe coding with Claude Code as a way to test AI-assisted development workflows. The whole thing

MCP Server for the Giphy API, enabling AI models to search, retrieve, and utilize GIFs from Giphy. - Content Filtering: Filter results by rating (G, PG, PG-13, R) to ensure appropriate content - Optimized Response Format: Response data optimized for AI model consumption - Multiple Search Methods: Support for query-based, random, and trending GIF retrieval - Comprehensive Metadata: Each GIF comes w

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

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

Cross-platform MCP (Model Context Protocol) server exposing LLM-accessible tools to list and kill OS processes via natural language queries. Perfect for shy ninjas who just want rogue processes gone: "Find and nuke the damn CPU glutton choking my system!" The following tools are exposed to MCP clients: - processlist: Lists running processes sorted by CPU or memory with optional name, user, status,

An MCP server for nearby place searches with IP-based location detection. - IP-based Location Detection: Uses ipapi.co to determine your current location - Google Places Integration: Searches for nearby places based on keywords and optional type filters - Simple Interface: Single tool endpoint with customizable radius - Python 3.10+ - Google Cloud Platform API Key with Places API enabled - Interne

MCP-Dandan is an integrated monitoring service that observes MCP (Model Context Protocol) communications and detects security threats in real time. It features a modern desktop UI built with Electron for easy monitoring and management. Currently, MCP-Dandan is listed in well-known MCP-related open-source collections and can be found in the following repositories: - Awesome MCP Servers – Security -

MCP Server for Driflyte. The Driflyte MCP Server exposes tools that allow AI assistants to query and retrieve topic-specific knowledge from recursively crawled and indexed web pages. With this MCP server, Driflyte acts as a bridge between diverse, topic-aware content sources (web, GitHub, and more) and AI-powered reasoning, enabling richer, more accurate answers. - Deep Web Crawling: Recursively f

- Requirements - Entity Operations - Telemetry Management - Relations - OTA Packages - Entity Data Query - Quick Start Guide - Installation - Docker Image - Build from Sources - Client Configuration - Binary Configuration - Docker Configuration - Environment Variables - Tool Groups Configuration - Available Tools - Device Tools - Asset Tools - Customer Tools - User Tools - Alarm Tools - OTA Tools

GXtract is a Model Context Protocol (MCP) server designed to integrate with VS Code and other compatible editors. It provides a suite of tools for interacting with the GroundX platform, enabling you to leverage its powerful document understanding capabilities directly within your development environment. - Architecture - Prerequisites - Installing UV - Quick Start: VS Code Integration - Available

Open source feedback for teams that ship. The open-source alternative to Canny, UserVoice, and Productboard. Collect feedback. Prioritize what matters. Close the loop. Website · Docs · Get Started Cloud coming soon at quackback.io. Join the waitlist. Self-hosted anywhere with Docker or one click on Railway. Most feedback tools are expensive, closed-source, and lock you in. Quackback

A Model Context Protocol (MCP) server that exposes FinBrain datasets to AI clients (Claude Desktop, VS Code MCP extensions, etc.) via simple tools. Backed by the official finbrain-python SDK. - Package name: finbrain-mcp - CLI entrypoint: finbrain-mcp - Documentation: finbrain.tech/integrations/mcp Access FinBrain's machine learning price forecasts with daily (10-day) and monthly (12-month) horizo

- 🚀 99% fewer API calls for batch operations (150-300 → 1) - ⚡ 88% token reduction with compact response formats - 🎯 Batch Dedupe Mode - Check 50-100 titles in one operation - 🔄 Smart Caching - 70-85% API call reduction - 🛡️ Safety Features - Multi-season confirmation, validation - 📦 4 Powerful Tools - Consolidated from 8 for clarity - 🤖 Automated Security Scanning - Dependabot for dependenc

Please use Alby MCP instead! This repository has been deprecated in favor of Alby MCP, which includes all the NWC tools along with additional Lightning tools. Connect a bitcoin lightning wallet to your LLM using Nostr Wallet Connect (NWC or NIP-47). This MCP server uses the official MCP TypeScript SDK If your agent supports SSE (e.g. N8N) or HTTP Streamable transports, you can connect to Alby's MC

An open source MCP (Model Context Protocol) server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments. - Quick Start - Prerequisites - Installation - Usage Examples - Configuration - Available Tools - Architecture - How It Works - MCP Client Integration - Performance Considerations - Troubleshooting -

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

A weather forecast MCP (Model Context Protocol) server providing 8-day global weather forecasts and current weather conditions using the OpenWeatherMap One Call API 3.0. Animation showing Claude Desktop processing the weather data from the MCP Server Claude Desktop showing a detailed weather forecast with lawn mowing recommendations - 🌍 Support for querying weather conditions anywhere in the worl

Main entry-point skill for Transloadit. Route to the right `integrate-*`, `transform-*`, or `docs-*` skill, and prefer executing via `npx -y @transloadit/node ...` (CLI) for deterministic behavior.

An MCP server (stdio transport) that wraps Hugging Face's LocalPythonExecutor (from the smolagents framework). It is a custom Python runtime that provides basic isolation/security when running Python code generated by LLMs locally. It does not require Docker or VM. This package allows to expose the Python executor via MCP (Model Context Protocol) as a tool for LLM apps like Claude Desktop, Cursor

🇰🇷 한국어 | 🇯🇵 日本語 | 🇨🇳 简体中文 | 🇹🇼 繁體中文 | 🇧🇷 Português The OP.GG MCP Server is a Model Context Protocol implementation that provides AI agents with access to OP.GG game data for League of Legends, Teamfight Tactics, and Valorant. The server supports Streamable HTTP transport. Most tools require a desiredoutputfields parameter to specify which fields to return. This reduces payload size and i

The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data. See the full list of tools. Before setting up the MCP server, we recommend you read our security best practices to understand t

Automatically hunt for high-impact OSS contribution opportunities in trending repositories.

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. This document outlines the setup process and provides a basic example of using the client. Ingest anything from Slack, Discord, websites, Google Drive, email, Jira, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Wind