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Convert any ComfyUI workflow to REST API and MCP interface with one click Multi-language interface support (/English/)Zero configuration deployment Perfect support for Cherry StudioClaude Desktop and other AI clients

MCP server

Mini-MCP Server: A minimalist MCP server written in procedural PHP and stripped down to just what we need.

This project implements a LiveKit-powered Voice AI Workflow in Python. It allows users to speak directly to the system, process their input using Speech-to-Text (STT), apply LLM-based reasoning, and return responses in AI-generated speech using Text-to-Speech (TTS).

Flexible GraphRAG is a platform supporting document processing, knowledge graph auto-building, RAG and GraphRAG setup, hybrid search (fulltext, vector, graph) and AI Q&A query capabilities.

A modern desktop application for managing Model Context Protocol (MCP) servers.

Metis is an advanced AI agent platform with an intelligent MCP (Model Context Protocol) router that dynamically manages up to 1,000+ MCP servers. The router uses an LRU cache system to maintain only the most relevant servers active at any time, preventing context overwhelm while providing access to a vast ecosystem of tools and services. We wanted to create this so you can add additional features while not having to deal with context overload from having over 40 tools enabled! We also provide a modular web based MCP client that anyone can modify! Our goal for this is to help others build cool applications using MCPs.

Aser is a minimalist, modular, and versatile AI agent framework. You can assemble an agent with just a few lines of code.

Welcome to the mcp-ai-agents-template! This application serves as a Model Context Protocol (MCP) TypeScript template that helps you manage multiple AI agents. These agents can send emails, schedule meetings, and answer questions based on a knowledge base. You don't need to be a programmer to benefit from this tool; it's designed for anyone who wants to enhance how they manage tasks using AI.

A fast, interactive Multi-Channel Prompt (MCP) server that exposes calculator operations with AI-assisted prompts.

"Fine. I'll do it myself." Thanos (and also me, after trying five different MCP servers that couldn't mix-and-match image models) I wanted a single, simple MCP server that lets agents generate and edit images across OpenAI, Google (Gemini/Imagen), Azure, Vertex, and OpenRouterwithout yakshaving. So here it is.

An open source repository containing a CVD risk model predictor and an external MCP server for use in Darena Health (MeldRx)

Transform GitHub repository exploration with intelligent AI-powered analysis

Welcome to Hacking-AI-! Our goal is to provide you with accessible resources to learn about hacking. From various online sources, including YouTube videos and expert insights, we offer an easy path to understanding hacking techniques.

This is my Agentic AI practice project for MCP server.

A curated collection of Model Context Protocol (MCP) servers for enhanced AI development workflows.

A sophisticated multi-agent AI system built with Node.js, TypeScript, and modern AI APIs

SofIA (Semantic Organization for Intelligence Amplification) - An advanced browser extension and AI agent ecosystem that transforms user navigation data into verifiable knowledge graphs using Web3 and blockchain technologies.

Use 400+ AI models (Claude, GPT-4, Gemini, etc.) directly in Claude Code

MaverickMCP is a personal-use FastMCP 2.0 server that provides professional-grade financial data analysis, technical indicators, and portfolio optimization tools directly to your Claude Desktop interface. Built for individual traders and investors, it offers comprehensive stock analysis capabilities without any authentication or billing complexity.

A powerful, multi-modal Telegram bot leveraging cutting-edge AI technologies including Gemini, DeepSeek, OpenRouter, and 50+ AI models for comprehensive conversational assistance, media processing, and collaborative features with MCP (Model Context Protocol) integration.

Repository for BTech major project. An MCP and custom tools enabled Personal Assistant.

A Model Context Protocol (MCP) server that enables Claude Desktop and other AI assistants to browse Reddit, search posts, and analyze user activity. Clean, fast, and actually works - no API keys required.

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.

A Rust-based MCP (Model Context Protocol) server that enhances your prompts using AI to make them clearer and more effective.

This repository explores the use of agentic AI tools and techniques for building intelligent, automated systems. The course covers practical applications and hands-on work with modern frameworks, libraries, and APIs.

This guide provides comprehensive instructions for setting up various Model Context Protocol (MCP) servers with Claude Code. These tools dramatically enhance Claude Code's capabilities, allowing it to interact with your filesystem, web browsers, and more.

An MCP server that uses Replicate to generate images and allows users to save them.

AgenticAI is a modular framework for building agentic and LLM-powered applications in Python. It provides tools, workflows, and examples for working with language models, vector databases, document loaders, and custom AI agents.

Repositrio minimalista para criao de agentes de IA inteligentes e versteis com protocolos A2A (Agent-to-Agent) e MCP (Model Context Protocol).

A Swift implementation of the Model Context Protocol (MCP) for AI agent interactions.

Welcome to the qdrant-neo4j-crawl4ai-mcp. This application combines advanced search capabilities and knowledge graphs to help you make sense of vast amounts of data. You dont need to be a tech expert to use it. Follow the steps below to get started.

An experimental Model Context Protocol (MCP) server for integrating Granola.ai meeting intelligence with Claude Desktop. This uses Granola's local cache. I don't have any idea how Granola updates or maintains that cache. My guess is that it's doing a rolling context window, but storing long term notes up in AWS. So, YMMV. Use at your own risk. I will likely add a cache shipper at some point since we don't have access to Gronala's data in the cloud.

Welcome to mcp-ai-memory, a powerful tool designed to help you manage your semantic memory with ease. Follow these steps to download and set up your application.

The following features have been implemented:

A powerful MCP server for AI image generation with OpenAI GPT-Image-1, Google Imagen 4, Flux 1.1, Qwen Image, SeedDream-4, and Nano Banana (Gemini 2.5 Flash Image) support

Welcome to the MCP-server-client-computer-use-ai-sdk! This software allows you to harness the power of AI to control your computer seamlessly. No complicated setups. Just download and run.

MCP (Model Context Protocol) Server for Ayd.

AIMCPAI

Chonost Manuscript OS is a comprehensive AI monorepo designed for advanced AI agent ecosystems, RAG pipelines, and desktop integrations. This project combines backend services, MCP servers, and desktop applications for seamless AI-driven manuscript management.

Prompt Library

Instructions for configuring llama-stack to integrate with a locally running MCP server and vllm

A Model Context Protocol (MCP) server for analyzing and querying ROS bag files. This server enables Claude and other MCP-compatible tools to interact with robot data stored in ROS bags.

The Free AI Prompt Hub Discover and share community-built prompts for ChatGPT, Claude, Gemini and more

LLMling Agent is a framework for creating and managing LLM-powered agents. It integrates with LLMling's resource system and provides structured interactions with language models.

Model Context ProtocolLLMs

A local-first, team-ready MCP server that provides a durable memory system for LLM-based coding workflows. Its optimized for JavaScript/TypeScript development (web and mobile), but works for any stack. Memory items can be stored globally, locally per project, or committed to the repo for team sharing with fast search, ranking, and per-scope tuning.

This is a simple command-line chatbot I built that talks to AI models using the Anthropic API. On top of normal Q&A, it supports pulling in documents and running custom commands. Under the hood, it uses MCP (Model Control Protocol), which makes it easy to plug in extra tools or extend the chatbot later.

BetterPrompt MCP is a Model Context Protocol (MCP) server that enhances user requests using advanced prompt engineering techniques. It exposes a single, powerful tool that transforms simple requests into structured, context-rich instructions tailored for optimal AI model performance.

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models.

The universal-ai-dev-assistant is a powerful tool designed to help developers of all levels. This AI-powered platform offers features such as Code Time Travel and AI Pair Programming. It simplifies the development process and enhances productivity.

This project is an MCP (Model Context Protocol) server that generates images using the Google Gemini API.

MCP Server for the Notion API, enabling LLM to interact with Notion workspaces. Additionally, it employs Markdown conversion to reduce context size when communicating with LLMs, optimizing token usage and making interactions more efficient.

PapersGPT is a Zotero plugin that brings state-of-the-art Zotero AI capabilities directly into your research workflow, allowing you to chat PDFs in Zotero, quickly gain key detailed insight, generate summaries, and more. It supports GPT 5, Gemini, DeepSeek V3.1, Grok 4, ChatGPT, o1/o3/o4-mini, Claude, OpenRouter, SiliconFlow, gpt-oss, Kimi K2, GLM 4.5, DeepSeek R1 0528, Qwen3, Gemma 3, Llama 3.2 and Mistral. Now PapersGPT supports MCP , any chatbot client which supports MCP can connect to your personal Zotero library through PapersGPT.

A lightweight C library for creating MCP (Model Context Protocol) servers that transforms your existing C functions into AI-accessible tools with minimal code changes.