GitHub AI Agent Skills

Edit MediaWiki pages safely using the right tool for each change. Covers text replacement, formatting, bulk updates, and new page creation with preview-before-save workflow.

👋 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

[![][image-banner]][vercel-link] LobeHub is the ultimate space for work and life: to find, build, and collaborate with agent teammates that grow with you. We’re building the world’s largest human–agent co-evolving network. English · 简体中文 · [Official Site][official-site] · [Changelog][changelog] · [Documents][docs] · [Blog][blog] · [Feedback][github-issues-link] [![][github-release-shield]][github-

melrōse is a tool to create and play music by programming melodies. It uses a custom language to compose notes and create loops and tracks to play. melrose-mcp is an MCP server (STDIO) that uses the packages from the melrōse tool. This mcp server requires the Go SDK for installation. To produce music, you need to setup a MIDI receiver such as a DAW or a hardware synthesizer. go install github.com/

Copilot MCP Tool is an open‑source Model Context Protocol (MCP) server that connects your IDE or AI assistant (Claude, Cursor, etc.) to GitHub Copilot CLI. It enables non‑interactive automation, safe tool execution with permissions, and large‑scale code analysis via @ file references. Built for reliability and speed, it streams progress updates, and integrates cleanly with standard MCP clients for

AI image enhancement for LLMs. An MCP server that lets Claude and other AI assistants enhance images using Topaz Labs AI models. Topaz Labs makes AI-powered image and video enhancement software used by photographers, filmmakers, and developers worldwide. Enhanced with the Wonder 2 model. View interactive comparison → Sign up at developer.topazlabs.com. Add to your Claude Desktop config (~/Library/

A modern, cross-platform Model Context Protocol (MCP) server that enables AI assistants to browse and interact with both Gopher protocol and Gemini protocol resources safely and efficiently. The Gopher & Gemini MCP Server bridges vintage and modern alternative internet protocols with AI assistants, allowing LLMs like Claude to explore the unique content and communities that thrive on both Gophersp

An MCP server implementation that provides job search functionality. Get available jobs with filtering options sinceWhen (string): Since when to get available jobs. e.g., '1d' or '1w' (only days and weeks are supported) keywords (string[], optional): Keywords to filter jobs by excludeKeywords (string[], optional): Keywords to exclude from the jobs isRemote (boolean, optional): Whether to filter jo

Decompose any text into classified semantic units — authority, risk, attention, entities. No LLM. Deterministic.

A Model Context Protocol (MCP) server implementation that integrates with gitingest for turning any Git repository into a simple text digest of its codebase. - Easy integration with AI assistants through the Model Context Protocol - Git repository analysis and ingestion capabilities - Support for filtering files by size, patterns, and branches - Returns comprehensive repository information includi

Vectara-MCP provides any agentic application with access to fast, reliable RAG with reduced hallucination, powered by Vectara's Trusted RAG platform, through the MCP protocol. You can install the package directly from PyPI: - Security: Built-in authentication via bearer tokens - Encryption: HTTPS ready - Rate Limiting: 100 requests/minute by default - CORS Protection: Configurable origin validatio

This repository is archived as of August 25, 2025. Going forward, the Azure MCP team is using https://github.com/microsoft/mcp to develop the code and issues formerly in this repository. Please see the following for more context:

Spring Boot starter that automatically exposes SpringDoc OpenAPI operations as MCP tools. - Auto-discovery of OpenAPI operations from your running Spring app - Auto-registration of MCP tools for discovered API operations - Smart-context tools: metadiscoverapitools, metainvokeapibyintent - Response optimization with projection/summarization controls - Risk controls for dangerous operations (confirm

Publish articles to X/Twitter

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

A Model Context Protocol (MCP) server that provides seamless integration with Neovim instances, enabling AI assistants to interact with your editor through connections and access diagnostic information via structured resources. Supports both stdio and HTTP server transport modes for different integration - Multi-Connection Support: Manage multiple concurrent Neovim instances - LSP Integration: Com

Control your Reclaim.ai calendar, tasks, and habits from AI assistants via MCP. 40 tools across tasks, calendar, habits, focus time, and analytics. See docs/TOOLS.md for complete reference. Registries: PyPI · Smithery · Glama · GitHub · GitLab Limit exposed tools via RECLAIMTOOLPROFILE: Poetry (from source) Note: Use --directory flag instead of cwd – Claude Desktop doesn't respect cwd. Other MCP c

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

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

Generate SQL validation notebooks for dbt changes. Pass a GitHub PR URL or local dbt repo path.

MCP server that gives LLMs access to real-time Brazilian agricultural data — prices, crop estimates, climate, deforestation and more from 10 public sources. Add to claudedesktopconfig.json: Settings > MCP Servers > Add: Add to claudedesktopconfig.json: 10 tools available out of the box: agrobr-mcp is a thin wrapper. All data logic lives in the agrobr library. Servidor MCP que dá acesso a dados agr

This Model Context Protocol(MCP) server enables Large Language Models (LLMs) to make drawings using JavaFX primities. The server is implemented using Quarkus MCP and JavaFX. Initial idea and implementation is from @konczdev See video here. 1. Install jbang 2. Configure your MCP Client to run the server as jbang jfx@quarkiverse/quarkus-mcp-servers (see Claude Desktop Config below) Add this to your

This is an MCP (Model Context Protocol) compatible tool that allows MobSF (Mobile Security Framework) to scan APK and IPA files directly via Claude, 5ire, or any MCP-capable client. MobSF should be installed( and running ) on the system. Download the MCP typescript sdk and rename the folder to sdk. npm should be installed on the system - Supports APK and IPA file scanning - Uses MobSF's REST API t

This project provides a set of tools for retrieving information about SonarQube projects using the FastMCP (Fast Model Context Protocol) framework. It serves as an interface to SonarQube, allowing users to programmatically access metrics, historical data, and component tree metrics for specified projects. This automated access enables reporting, analysis, and integration of SonarQube data with oth