Mcp AI Agent Skills

A Model Context Protocol (MCP) server for validating Mermaid diagram syntax and providing comprehensive grammar checking capabilities English | 简体中文 Install the package: start the service locally set the config Published under the MIT license. Made by community 💛 🤖 auto updated with automd

A comprehensive Model Context Protocol (MCP) server for Apache Druid that provides extensive tools, resources, and prompts for managing and analyzing Druid clusters. Developed by iunera - Advanced AI and Data Analytics Solutions This MCP server implements a feature-based architecture where each package represents a distinct functional area of Druid management. The server provides three main types

A portable, single-binary system auditing tool for Linux. Like Lynis but faster and smarter. No configuration needed. No dependencies. Just run. - 🔒 Security: Firewall, SSH hardening, SSL/TLS, fail2ban, SUID binaries, open ports - 🚀 Services: Systemd services, web servers, databases, Docker - 💻 Resources: CPU, RAM, disk usage, top processes - 💾 Storage: SMART health, inode usage, filesystem er

A Model Context Protocol (MCP) server enabling AI agents to query information about dependencies in a Ruby project's Gemfile. Built with fast-mcp. Install the gem and add to the application's Gemfile by executing: 1. Generate the binstub: 2. Configure your client to execute the binstub. Here are examples that work for Claude and Cursor: Available on RubyDoc The server provides two tools for AI age

Your MCPs, supercharged. Find any tool instantly, execute with code mode, run on schedule, discover skills, load Photons, ready for any client. Smart loading saves tokens and energy. Instead of your AI juggling 50+ tools scattered across different MCPs, NCP gives it a single, unified interface with code mode execution, scheduling, skills discovery, and custom Photons. Your AI sees just 2-3 simple

Apple Documentation Crawler & MCP Server A Swift-based tool to crawl, index, and serve Apple's developer documentation to AI agents via the Model Context Protocol (MCP). Cupertino is a local, structured, AI-ready documentation system for Apple platforms. It: - Crawls Apple Developer documentation, Swift.org, Swift Evolution proposals, Human Interface Guidelines, Apple Archive legacy guides, and Sw

A Model Context Protocol (MCP) server that enables Claude Desktop (and other MCP clients) to generate images, videos, music, and audio using Fal.ai models. - Native Async API - Uses falclient.runasync() for optimal performance - Queue Support - Long-running tasks (video/music) use queue API with progress updates - Non-blocking - All operations are truly asynchronous - STDIO - Traditional Model Con

A local MCP server to communicate local Pharo Smalltalk image. It supports: - Code Evaluation: Execute Smalltalk expressions and return results - Code Introspection: Retrieve source code, comments, and metadata for classes and methods - Search & Discovery: Find classes, traits, methods, references, and implementors - Package Management: Export and import packages in Tonel format - Project Installa

An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need. - OpenAI API Key: Required for generating embeddings (local embedding support planned) - Git: Must be a git repository (respec

Model Context Protocol server for TorrentClaw — giving AI assistants the ability to search movies and TV shows, find torrents with magnet links, check streaming availability, and explore cast/crew metadata. torrentclaw-mcp is developed by TorrentClaw as part of its open-source ecosystem. It wraps the TorrentClaw API into the MCP standard so that any compatible AI assistant (Claude, GPT, etc.) can

🔴 myinstants-mcp give your AI agent a soundboard. no cap. millions of sound buttons · zero config · just vibes ✨ an MCP server that connects AI agents to myinstants.com — the internet's largest soundboard. millions of meme sounds, vine booms, fart noises, anime clips, gaming sfx, whatever you need bestie. your AI agent can now: - 🔍 search any sound on myinstants - 🔴 smash that button and play i

Find emails needing follow-up -- unanswered sent emails, flagged unreplied, draft contextual responses

Ace the Claude Certified Architect exam Adaptive certification prep powered by the Model Context Protocol. 390 questions. Guided capstone build. 30 concept handouts. 6 reference projects. Practice exams. Spaced repetition. Zero sycophancy. Quick Start • Features • How It Works • Study Modes • Capstone Build • Reference Projects • Concept Handouts • Exam Domains • Architecture Architect Cert is a f

English | 中文 A MCP server that send desktop notifications with sound effect when agent tasks are completed. - Send system desktop notifications after agent tasks completion - Play alert sounds to grab user attention, with sound file inside. - Cross-platform support (Windows, macOS, Linux) - Based on standard MCP protocol, integrates with various LLM clients After installation, call the module dire

BGG MCP: BoardGameGeek MCP Server BGG MCP provides access to the BoardGameGeek API through the Model Context Protocol, enabling retrieval and filtering of board game data, user collections, and profiles. The server is implemented in Go, using the GoGeek library, which helps ensure robust API interactions. Price data is provided by BoardGamePrices.co.uk, offering real-time pricing from multiple ret

CRUD operations for knowledge base docs — add, delete, update metadata, embed. Requires GNOSIS_MCP_WRITABLE=true.

A Model Context Protocol (MCP) server that interfaces with the HackMD API, allowing LLM clients to access and interact with HackMD notes, teams, user profiles, and history data. - Get user profile information - Create, read, update, and delete notes - Manage team notes and collaborate with team members - Access reading history - List and manage teams - Dual transport support: Both HTTP and STDIO t

A Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for Retrieval-Augmented Generation (RAG) applications. - Local Vector Storage: Uses FAISS for efficient similarity search without external dependencies - Document Ingestion: Automatically chunks and embeds documents for storage - Semantic Search: Query documents using natural language with sentence

Lightweight Model Context Protocol (MCP) server exposing read-only Interactive Brokers data (contracts, historical data, fundamentals, news, portfolio, account) via the asynchronous ibasync library and FastMCP. Ideal for feeding financial data into LLM workflows and autonomous agents while keeping trading disabled. This directory contains an MCP (Model Context Protocol) server that wraps the ibasy

- Agentic SWMM for reproducible stormwater modeling: the aiswmm runtime + Skills + MCP + SWMM, with a verification-first workflow and Obsidian-compatible audit trail. - Five minutes, one command: an Agentic SWMM workflow that is auditable, memory-informed, and agent-ready. - Live demo (no install, offline case replay): try it in the browser at aiswmm.com. - SWMMCanada upstream, ready to use: insid

A MCP Server implemented in Node.js/TypeScript, facilitating interactive communication between LLMs and users. Note: This server is designed to run locally alongside the MCP client (e.g., Claude Desktop, VS Code), as it needs direct access to the user's operating system to display notifications and command-line prompts. (Note: This project is in its early stages.) Want a quick overview? Check out

English | 中文 Zero-dependency MCP memory server for AI agents — persistent, searchable, local-first, single binary. - No infra to babysit. Single Go binary. No Docker, no Node.js runtime, no cloud account, no API keys. brew install in 30 seconds. - Memory stays with the project. Stored in .aimemo/ next to your code — commit it to git or add it to .gitignore. Switch branches; memory follows the dire

A Model Context Protocol (MCP) server that transforms how you interact with Google Search Console, Bing Webmaster Tools, and Google Analytics 4. Stop exporting CSVs and start asking questions. 📚 View Documentation Data Silos: Manually checking Google, then Bing, then GA4. Manual Correlation: Exporting 3 different CSVs and using VLOOKUPs to see if your 1 ranking page actually converts. Switching F

Open-source memory backend for multi-agent systems. Agents store decisions, share causal knowledge graphs, and retrieve context in 5ms — without cloud lock-in or API costs. Works with LangGraph · CrewAI · AutoGen · any HTTP client · Claude Desktop Key capabilities for agent pipelines: - Framework-agnostic REST API — 15 endpoints, no MCP client library needed - Knowledge graph — agents share causal