Ressources IA ML

A collection of Model Context Protocol (MCP) tools for Claude.

The Thinking Models MCP Server is an intelligent service based on the Model Context Protocol (MCP) that provides comprehensive access to a knowledge base of thinking models. This service integrates rich thinking model data, including model definitions, application scenarios, classification systems, educational content, and usage guidelines. Whether for personal learning, educational training, or decision support, this service offers professional thinking tools.

MCP Manus (Autonomous AI Agent Redefining) . Bedrock-Manus: AI Automation Framework Based on Amazon Bedrock LangManus Prompt . Bedrock Manus LangManus Manus , . MCP Manus .

Model Context Protocol

This is an MCP server that uses natural language queries to call real tools from the ChRIS API, powered by Ollama running the mistral model.

A Model Context Protocol (MCP) server that enables secure interaction with Watson Discovery. This server allows AI assistants to list projects, list collections in projects, execute queries through natural language processing.

AI agent for interacting with PC desktop, web pages, MCP, AMA, etc.

This project provides examples guided by tests for developers who are interested in AI but are not yet familiar with it. Through reading test cases, you can understand various application-level AI use cases, such as RAG (Retrieval-Augmented Generation), embeddings, and other functionalities provided by the OpenAI platform.

This project demonstrates a chat interface powered by AWS Bedrock (Claude 3 Sonnet) that delegates tasks to specialized MCP agents.

A Live Demo with Unity 2025 LTS Core Toolchain

A real-world implementation of the Model Context Protocol (MCP) using LangChain, Flask, and OpenAI.

Integrates the Model Context Protocol (MCP) with Obsidian, enabling AI assistants to interact with your vault via the Obsidian Local REST API. This plugin uses standardized tools and resources for seamless AI collaboration.

An MCP server that generates Spotify playlists based on themes or moods using ChatGPT and Spotify API.

Run Model Context Protocol via local LLM running on llama-cpp-python

A Rust implementation of Anthropic's Model Context Protocol (MCP), Specification defined at repo, which is an open standard for connecting AI assistants to data sources and tools.

Kali MCPAI AI

Agentic RAG with MCP Server is a powerful project that brings together an MCP (Model Context Protocol) server and client for building Agentic RAG (Retrieval-Augmented Generation) applications.

MCP (Model Control Protocol) is an open standard for integrating AI models with external data and tools. It enables:

A powerful MCP server that connects to databases and runs natural language queries through LLM planning and execution. This server understands database schema, indexes, and provides structured, accurate query results.

MCPNet is a gene regulatory network (GRN) reconstruction tool that identify long range indirect interactions based on a novel metric called MCP Score. MCP score uses maximum-capacity-path, a graph theoretical measure, to quantify the relative strengths of direct and indirect gene-gene interactions. MCPNet is implemented in C++ and is parallelized for multi-core and MPI multi-node environments. It is designed to reconstruct networks in unsupervised and semi-supervised manners.

AI Agents examples including MCP and A2A

An intelligent task management system based on Model Context Protocol (MCP), providing an efficient programming workflow framework for AI Agents.

This agent acts as a client for Model Context Protocol (MCP) servers, allowing users to connect to any MCP server via SSE transport and interact with available tools through a chat interface.

Welcome to INTUE

This project provides a chat interface that connects to an MCP (Model Control Protocol) SSE server, allowing you to interact with AI models through a user-friendly web interface. The agent uses Anthropic's Claude as the underlying language model and can access tools provided by your MCP server.

This repository contains implementations, integrations, and examples demonstrating the use of the Model Context Protocol (MCP) for building intelligent and modular AI applications.

This is a Go implementation of the OpenStreetMap MCP server that enhances LLM capabilities with location-based services and geospatial data.

An MCP server implementation that enables AI assistants like Claude to use a Neo4j knowledge graph as their primary, dynamic "instruction manual" and project memory for standardized coding workflows.

An MCP (Model Context Protocol) server that exposes Sendblue's iMessage and SMS capabilities as tools for LLMs.

These codes are used in numerical example for the paper "Design of Sparse Control with Minimax Concave Penalty"

Mcp ChatBI

Hey everyone! In this post, youll learn how to install n8n using Docker CLI (no Docker Desktop required) and take your automation skills to the next level using mCP (Model Context Protocol).

LLM agent technique scripts and notes, including API usage, tools, MCP, RAG, CoT, Manus, finetuning etc.

MCP implementation of our standard Semantic Search API

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This server provides a Model Context Protocol (MCP) interface for interacting with Kontent.ai's Management and Delivery APIs. It enables AI assistants to access and manipulate Kontent.ai content using standardized tools.

Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an MCP Server for Neurelo Connect.

This Repo is about examples that I have tried on MCP(Model Context Protocol)

Discord AI Agent

The Perses MCP Server is a local Model Context Protocol (MCP) Server that enables the LLM hosts(Claude Desktop, VS Code, Cursor) to interact with the Perses Application in a standardized way.

This project connects Cursor IDE with Ableton Live using the AbletonMCP server to enable natural language-driven music composition.

JupyterMCPMCPModel Control ProtocolJupytersseMCPAIJupyter

MCP is a Spring Boot-based service that provides a flexible and extensible interface for interacting with various Large Language Models (LLMs). The service is designed to support multiple LLM providers (like OpenAI, Anthropic, Ollama, etc.) through a unified API, making it easy to switch between different LLM backends without changing your application code.

Volatility3 MCP Server is a powerful tool that connects MCP clients like Claude Desktop with Volatility3, the advanced memory forensics framework. This integration allows LLMs to analyze memory dumps, detect malware, and perform sophisticated memory forensics tasks through a simple, conversational interface.

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 crash course will guide you through the fundamentals of MCP, from understanding its core concepts to implementing servers and clients that leverage prompts, resources, and tools.

VoiceVox Model Context Protocol Claude VoiceVox

Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.

A simple Model Context Protocol (MCP) server that provides weather forecast information.

A modular Rust implementation of the Model Context Protocol (MCP), which enables seamless integration between LLM applications and external data sources and tools.

A Model Context Protocol (MCP) server for integrating AI assistants with Mem0.ai's persistent memory system.

A Meme Creation Protocol server for Claude and other AI assistants. Released on April 1st, 2025 because... memes.

xtquantai Model Context Protocol (MCP) (xtquant) AI

MCPModel Context ProtocolTranscriber MCPfaster-whisperCPU

AVM offers an isolated code interpreter for your LLM-generated code.