Ressources IA ML

Desktop application for managing local LLMs and MCP servers, built with Next.js and Electron.

This server provides crypto asset price information and trend analysis using technical indicators and AI.

Seamlessly add Chargebee to your AI Agents using AgentKit for smarter billing and subscription workflows.

AWorld (short for Agent World) is an advanced framework where multiple AI agents collaborate to accomplish complex goals, such as those found in the GAIA benchmark. Its core features include:

An MCP (Model Context Protocol) server that combines AI influencer video generation with intelligent contract search capabilities and conversation memory.

This project is a Python application that uses the FastMCP library to create an MCP server. It also uses the openai library to interact with the OpenAI API.

Claude Desktop + MCP (Model Context Protocol)

This repo is for me to put my AI related test codes, including Agent, Multi, Workflow, RAG, Tools, MCP, Fine Tuning

A modular Model Context Protocol server for AI services with multiple transport options and dynamic service selection. Built with SOLID principles for maintainability and extensibility.

MCP play

AIWordMCPModel Context ProtocolAIWord

A powerful Model Context Protocol (MCP) server for efficient article administration and management.

The npm for AI agents. Discover, evaluate, and connect to Model Context Protocol (MCP) servers.

MCP ServerAI CursorCline WindsurfAIAI

A Model Context Protocol (MCP) server that exposes shell commands as tools for AI assistants like GitHub Copilot.

Welcome to the CrewAiMcpPoc Crew project, powered by crewAI. This template is designed to help you set up a multi-agent AI system with ease, leveraging the powerful and flexible framework provided by crewAI. Our goal is to enable your agents to collaborate effectively on complex tasks, maximizing their collective intelligence and capabilities.

Model Context Protocol (MCP) AI

SSH MCP Server is a local Model Context Protocol (MCP) server that exposes SSH control for Linux and Windows systems, enabling LLMs and other MCP clients to execute shell commands securely via SSH.

An MCP server providing tools to interact with the Perplexity AI API, built using the mcp-ts-template. This server allows AI agents compatible with the Model Context Protocol (MCP) to leverage Perplexity's search-augmented query capabilities. Includes a showThinking parameter to enable reasoning models to show its internal reasoning process.

A Go 1.22+ project demonstrating how to build an MCP (Model Context Protocol) server with custom tools, including integration with Supabase, OpenAI, and LangChain for document embedding, retrieval, and query decomposition.

MIST is a comprehensive MCP (Model Context Protocol) server that empowers AI assistants with real-world capabilities for note management, Gmail, Calendar, Tasks, and Git integration. It bridges the gap between AI assistants and external tools, enabling them to interact with your data and services through a standardized protocol.

mcp serverdemomcp vue3python fastapi + sqlite

I wanna create project using llm tools and publishing somewhere to see it. Such a desire let me lead mcp server.

Zotero MCP seamlessly connects your Zotero research library with Claude and other AI assistants (Cherry Studio, Cursor, etc.) via the Model Context Protocol. Discuss papers, get summaries, analyze citations, extract PDF annotations, and more!

A multi-agent Python system for comprehensive stock analysis and equity research reporting.

Local mcp server to call gemini to generate image

A collection of complementary MCP servers that provide access to UK legislation, tax documentation, dataset creation capabilities, and story analysis tools.

The Model Context Protocol (MCP) is a powerful framework that enables developers to build AI applications with large language models (LLMs) by providing a standardized way to connect models with external data sources and tools.

This project is an MCP (Model Context Protocol) server that allows users to generate transcriptions for YouTube video links. It provides an MCP tool to fetch the transcript of a given YouTube video using an external transcription service.

AgentCrew is a powerful and flexible AI assistant framework, engineered for sophisticated AI interaction that transcends rudimentary chatbot functionalities. It establishes an ecosystem where specialized AI agents operate in a coordinated fashion, governed by a system designed for contextual task routing and supporting a diverse array of Large Language Model (LLM) providers.

A production-ready Retrieval Augmented Generation (RAG) system featuring intelligent query decomposition, streaming responses, and enterprise-grade architecture. Built with GitHub Models for seamless AI integration and designed for complex, multi-step reasoning.

Ce projet dmontre et compare deux architectures d'intgration avec les Large Language Models (LLM) :

MCP-RAG system built with the Model Context Protocol (MCP) that handles large files (up to 200MB) using intelligent chunking strategies, multi-format document support, and enterprise-grade reliability.

Welcome to the Salesforce Model Context Protocol server! This MCP allows you to interact with your Salesforce data and metadata using natural language.

MCP (ModelContextProvider) server template

An end-to-end Model Context Protocol (MCP) solution that streamlines the entire UI/UX design workflow - from gathering inspiration to development handoff. This suite integrates multiple specialized MCP servers to automate and enhance the design process through AI assistance.

Revit-MCP Client | Core implementation of the Revit-MCP protocol that connects LLMs with Revit. Includes essential CRUD commands for Revit elements enabling AI-driven BIM automation.

A MuleSoft application that provides an AI-powered conversational assistant for utility field technicians using Claude AI through MCP (Model Control Protocol) and MAC (MuleSoft AI Connector) connectors.

This Helm chart dynamically deploys an MCP (Model Context Protocol) server, accessible remotely via Server-Sent Events (SSE). It allows you to easily expose any existing REST API from your application as tools within the MCP environment, enabling intelligent agents or external clients to query and use them.

This repository contains a demo of how to use the CrewAI MCP adapter to interact with the MCP Servers.

"Allow any MCP-capable LLM agent to communicate with or delegate tasks to any other LLM available through the OpenRouter.ai API."

A practical template for creating Model Context Protocol (MCP) servers that enable AI assistants to interact with your data and services.

This project provides a Model Context Protocol (MCP) server that acts as a bridge to your SilverBullet instance. It enables Large Language Models (LLMs) and other MCP-compatible clients to interact with your SilverBullet notes and data by exposing them through standardized MCP tools and resources.

Seamlessly integrate Wolfram Alpha into your chat applications.

A Python client for interacting with AI models through the Model Context Protocol (MCP). This client allows you to chat with different AI models (like OpenAI's GPT-4 and Anthropic's Claude) and let them use tools on your computer.

This repository contains instructions for creating a game entirely using AI assistance.

A Model Context Protocol (MCP) server that connects to Tana's Input API, allowing Large Language Models (LLMs) and other MCP clients to create and manipulate data in Tana workspaces.

A Model Context Protocol (MCP) server that provides Git repository history and context to AI assistants.

A production-grade MCP server integrating with DeepSeek's API, featuring advanced code review capabilities, efficient file management, and API account management.

A Model Context Protocol (MCP) server for interacting with F1Analisys through LLM interfaces like Claude.

Automatically synced with your v0.dev deployments

This project implements a Model Context Protocol (MCP) server that helps you use LaunchQL platform tools better and easier with AI agents.

A Model Context Protocol (MCP) server implementation for the Senso API, allowing Claude to interact with your Senso knowledge base through Claude Desktop.