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A TypeScript SDK for implementing Model Context Protocol (MCP) over MQTT, supporting both browser and Node.js environments.
A distributed runtime system for federated AI services with edge computing capabilities.
Levante is a cross-platform desktop app (Windows, macOS, Linux) that brings powerful AI tools closer to everyone — not just technical users.
Run Classic ASP on Linux, Windows, and macOS natively with extreme performance.
Runtime intelligence system that makes MCP servers debuggable, testable, and safe to run in production.
is an initiative to integrate the into the GNU Image Manipulation Program (GIMP), enabling seamless interaction between GIMP and AI models.
Dynamo MCP is a system that exposes cookiecutter templates through the Model Context Protocol (MCP). It allows you to discover, register, and manage cookiecutter templates, and generate projects from...
This repository contains examples of reusable "skills" for working with Azure DevOps from AI coding assistants (for example, GitHub Copilot in VS Code).
Looking for the Python version? Check out Saiku.py.
This server implements an MCP (Model Context Protocol) server with WebSocket enhancements for real-time data updates.
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.
A conversational AI agent and voice assistant application built with the LiveKit Agents framework, capable of using Model Context Protocol (MCP) tools to interact with external services for SRE and...
A collection of AI-assisted automation tools for and , built around the Model Context Protocol (MCP).
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.
A VS Code extension with an integrated MCP server that allows MCP clients like Claude to interact with Visual Studio Code.
📘 中文Readme 由于a2a协议升级，以前的task变成了message，conversation的id从metadata也改成了contextId，所以进行了升级。 推荐最新A2A结合ADK和MCP实现更复杂任务的方法: https://github.com/johnson7788/MultiAgentPPT/tree/main/backend
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.
gollem provides: - to query prompt to Large Language Model (LLM) services - Generate / Stream: Generate text content from prompt (with per-call option overrides) - GenerateEmbedding: Generate...
Aseprite MCP Pro — AI-powered pixel art creation for Aseprite via Model Context Protocol. 121 tools for sprites, drawing, animation, palettes, export, and Godot integration.
A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs.
The is a professional-grade Python implementation of the . It provides a structured environment for Large Language Models (LLMs) to interact with external tools and knowledge bases through a...
A practical, community-driven checklist for . This guide covers local and remote MCP server risks, traffic analysis, tool-call behaviors, context boundaries, authorization flows, and unsafe code...
⚠️ : This registry is currently in active development and testing phase. The API and data structure may change. Not recommended for production use yet.
This project demonstrates the integration of the Model Context Protocol (MCP) with AutoGen (AG2), showcasing a powerful pattern for building modular, tool-enabled AI agents.