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MCP Servers

Continuously updated catalogue of open-source OSINT tools, skills, plugins, MCP servers, and agentic integrations.

Build powerful AI applications with graph-powered RAG using Memgraph. This toolkit provides everything you need to integrate knowledge graphs into your GenAI workflows.

- Introduction - Model Context Protocol - modelcontextprotocol/typescript-sdk: The official Typescript SDK for Model Context Protocol servers and clients

This repository contains a directory of all official NetApp MCP servers.

A JSON-native lambda calculus runtime with metacircular evaluation, designed as an MCP (Model Context Protocol) server. Enables language models to evolve tools dynamically through metaprogramming.

A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent

An MCP server to run AppleScript and JXA (JavaScript for Automation) to macOS.

A mcp server to allow LLMS gain context about shadcn ui component structure,usage and installation,compaitable with react,svelte 5,vue & React Native

This is an MCP (Model Context Protocol) server that executes Manim animation code and returns the generated video. It allows users to send Manim scripts and receive the rendered animation.

Making docling agentic through MCP

A Model Context Protocol (MCP) server that provides seamless access to Apple's Developer Documentation directly within your AI coding assistant. Hey guys, thanks for checking out this MCP!

Single binary. No account required. Free forever.
Agent Skills

Collection of components and sections specifically designed for creating landing pages with Nuxt 4 and Nuxt UI.

CLI to manage emails

Clone of nanoclaw in Elixir

Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more

A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.

Shared guardrails, skills, and bootstrap scripts for AI coding agents

Turn noisy command output into a short, actionable first pass for coding agents.

Unofficial Python CLI for Google Flow. Drive Veo (image-to-video, text-to-video) and Imagen (text-to-image) from your terminal: scripted, batched, pipeline-ready.

Examples of my Claude Code infrastructure with skill auto-activation, hooks, and agents

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth.

Vendor-neutral, persistent project context for AI coding agents. Shared state lives under docs/context/, stays reviewable in Git, and survives chat resets, compaction, and switching agents (Claude...

AI code review that lands on the PR, not in your terminal — GitHub, GitLab, Bitbucket. Learns each repo's conventions: 1 review, 1 fix commit, replies in thread.