GitHub AI Agent Skills

Time MCP Server A Model Context Protocol server that enables AI assistants to interact with time The Time MCP Server is a Model Context Protocol (MCP) server that provides AI assistants and other MCP clients with standardized tools to perform time and date-related operations. This server acts as a bridge between AI tools and a robust time-handling backend, allowing for complex time manipulations t

Screenpipe brand style guide. Reference this when designing UI components, writing copy, or making visual decisions.

godoc-mcp is a Model Context Protocol (MCP) server that provides efficient access to Go documentation. It helps LLMs understand Go projects by providing direct access to package documentation without needing to read entire source files. godoc-mcp can vastly improve the performance of using LLMs to develop in Go by substantially reducing the number of tokens needed to understand and make use of Go

This is an MCP server that analyzes the screen with OmniParser and automatically operates the GUI. Confirmed on Windows. This is MIT license, but Excluding submodules and sub packages. OmniParser's repository is CC-BY-4.0. Each OmniParser model has a different license (reference). 1. Please do the following: (Other than Windows, use export instead of set.) (If you want langchainexample.py to work,

A JetBrains IDE plugin that exposes an MCP (Model Context Protocol) server, giving AI coding assistants full programmatic control over the debugger. Set breakpoints, step through code, inspect variables, and evaluate expressions—all driven autonomously by your AI assistant. Fully tested: IntelliJ IDEA, PyCharm, WebStorm, GoLand, RustRover, Android Studio, PhpStorm May work (untested): RubyMine, CL

Generates customer-ready roadmap views and launch timelines from ProductPlan for Sales and Customer Success teams. Use when preparing for customer calls, sharing product direction, or answering "when will feature X ship?" questions.

Scaffolds a new WebMCP tool component using useMcpTool with Zod schema, handler, annotations, and wires it into the WebMCPProvider tree. Use when the user wants to expose functionality as an MCP tool, make something callable by AI, add a new tool, or create an AI-accessible action.

An unofficial CellarTracker Remote MCP Server hosted on Cloudflare Workers. This will deploy your MCP server to a URL like: cellartracker. .workers.dev/mcp

Official ModelContextProtocol (MCP) server for Magic UI. - [x] cursor - [x] windsurf - [x] claude - [x] cline - [x] roo-cline Add to your IDE's MCP config: Once configured, you can questions like: The server provides the following tools callable via MCP: Some clients have a limit on the number of tools they can call. This is why we opted to group the tools into categories. Note: For more specific

A Model Context Protocol (MCP) server for LinkedIn. Search people, companies, and jobs, scrape profiles, and retrieve structured JSON data from any MCP-compatible AI client. Built with FastMCP, Patchright, and a clean hexagonal architecture. The getpersonprofile tool supports granular section scraping. Request only the sections you need: - Main profile (always included) — name, headline, location,

Born from a Reddit thread and months of iteration, The Agency is a growing collection of meticulously crafted AI agent personalities. Each agent is: - Specialized: Deep expertise in their domain (not generic prompt templates) - Personality-Driven: Unique voice, communication style, and approach - Deliverable-Focused: Real code, processes, and measurable outcomes - ✅ Production-Ready: Batt

An integration that allows Claude Desktop to monitor and query the operational status of major digital platforms including AI providers, cloud services, and developer tools using the Model Context Protocol (MCP). - Monitor world's most used digital platforms (GitHub, Slack, Discord, etc.) - Track AI providers including OpenRouter, OpenAI, Anthropic, and Gemini - Get detailed status information for

Analyze Rails apps and provide upgrade assessments

Index and search culture documentation

A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills engineering blog, making specialized skills available to any MCP-compatible AI application. An open-source

English · 简体中文 ![][github-contributors-shield] ![][github-forks-shield] ![][github-stars-shield] ![][github-issues-shield] A powerful IntelliJ IDEA plugin that provides a visual interface for Claude Code and OpenAI Codex dual AI tools, making AI-assisted programming more efficient and intuitive. - Claude Code - Anthropic's official AI programming assistant, supporting Opus 4.5 and other models - O

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 -

This project uses the Model Context Protocol (MCP) to let LLMs directly understand and generate Max patches. Video link. Acknowledgement: the patch being explained is downloaded from here. Text comments in the original file are deleted. Check out the full video where you can listen to the synthesised sounds. The LLM agent has access to the official documentation of each object, as well as objects

Guides and best practices for working with Neon Serverless Postgres. Covers getting started, local development with Neon, choosing a connection method, Neon features, authentication (@neondatabase/auth), PostgREST-style data API (@neondatabase/neon-js), Neon CLI, and Neon's Platform API/SDKs. Use for any Neon-related questions.

Project Overview

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.

Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.

Opinionated, evolving constraints to guide agents when building interfaces

Upgrade Expo SDK versions