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MCP Servers

Yet another minimal MCP server for Unity

🪐 ✨ AI Agents for JupyterLab with 🛠️ MCP tools - Chat interface for intelligent notebook interaction, code execution, and workspace management.

This is a starter template for creating your own Model Context Protocol (MCP) server that works with Puch AI. It comes with ready-to-use tools for job searching and image processing.

Implementation of a model context protocol (MCP) client that connects to an MCP server using HTTP streamable (recommended) transport and displays the conversation in a chat-like UI.

Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents.

A comprehensive collection of courses and tutorials for learning the - an open protocol that standardizes how AI applications connect to external tools and data sources.

Build powerful, scalable, and secure Model Context Protocol (MCP) applications with ease. MCP Plexus is a Python framework built on the robust jlowin/fastmcp (FastMCP 2.

An MCP (Model Context Protocol) server implementation for Listmonk, providing programmatic access to newsletter and mailing list management functionality.

This server implements an MCP (Model Context Protocol) server with WebSocket enhancements for real-time data updates.

This repository contains a basic example of how to build an AI agent using the Model Context Protocol (MCP) with an open LLM (Meta Llama 3), OpenAI or Google Gemini, and a SQLite database.

This implementation is based on the Model Context Protocol (MCP) put forward by Anthropic. For more information on MCP, please have a look at their official documentation.

This repository contains an extension of Azure Functions to enable support for Model Context Protocol (MCP).
Agent Skills

is an open-source, cloud-native vector database that stores both objects and vectors, enabling semantic search at scale.

no-mistakes puts a local git proxy in front of your real remote. Push to no-mistakes instead of origin, and it spins up a disposable worktree, runs an AI-driven validation pipeline, forwards the...

Anserini is a toolkit for reproducible information retrieval research. By building on Lucene, we aim to bridge the gap between academic information retrieval research and the practice of building...

Agent Zero is an open agent framework for work that needs more than chat: a Dockerized Linux desktop, a browser with DOM annotation, live document cowork, projects, skills, plugins, and a bridge back...

One interface for Claude Code, Codex, Copilot, OpenCode, and Pi agents.

Build — on any framework, on any surface.

The Threat Hunter Playbook is a community-driven, open source project focused on before, during, and after a hunt.

A Claude Code of the skills we share at AI Builder Club for building : agents that get triggered on their own, pick up work, ship it, verify it, and log what they learned, so the work compounds...

🌱 Spec Kit Define what to build before building it — with any AI coding agent.

Fully Open Framework for Democratized Multimodal Training

Centralized AI agent skills for Obsidian plugin and theme development.

Graph orchestration for codex skills