AI ML Resources

The Automators DataMaker MCP (Model Context Protocol) server provides a seamless integration between DataMaker and the Model Context Protocol, enabling AI models to interact with DataMaker's powerful data generation capabilities.

Root repository for create MCP servers using Spring AI

Next-Generation AI Reasoning Framework for Scientific Research

A modular AI agent framework that connects chatbots (Gemini, HuggingFace) to multiple Model Context Protocol (MCP) servers, including filesystem, arXiv, OpenFDA, and PDB tools.

A mcp server that bridges the Model Context Protocol (MCP) with the Agent-to-Agent (A2A) protocol, enabling MCP-compatible AI assistants (like Claude) to seamlessly interact with A2A agents.

An MCP (Model Context Protocol) server that provides access to MOBI API tools through Claude.

Exodus is a high-performance cross-platform AI chat application for desktop that is compatible with both OpenAI and Azure OpenAI services' APIs. In addition, Exodus also provides features such as Text Completion, Image Generation, Audio Transcription, and Audio Translation.

Model Context Protocol(MCP) . Claude AI MCP .

A comprehensive collection of practical examples, tutorials, and recipes showcasing how to build powerful LLM-powered applications using various frameworks and tools.

Amazon Bedrock is a fully managed service that provides access to high-performing foundation models (FMs) from leading AI companies through a single API. It enables you to build generative AI applications with enterprise-grade security and privacy.

This repository contains the code for the Cincinnati Machine Learning Meetup's May 2025 presentation on using DuckDB, MCP, and Malloy to analyze data with an LLM.

This is an MCP service implemented using the FastMCP library, designed for interaction with AI tools like Cursor, Windsurf, etc. When AI tools need user input or option selection while calling large language models, they can invoke this MCP service.

IMPORTANT: This package is currently under development and not yet ready for production use. The current version is a work in progress and may contain incomplete features or breaking changes.

A Model Context Protocol (MCP) server that integrates AI assistants with the Terraform Cloud API, allowing you to manage your infrastructure through natural conversation. Built with Pydantic models and structured around domain-specific modules, this server is compatible with any MCP-supporting platform including Claude, Claude Code CLI, Claude Desktop, Cursor, Copilot Studio, and others.

Repository to demonstrate the Spring AI capability to use Model Context Protocol (MCP) to create an AI Agent to act as a travel assistant

AI + , AI , , , MCP ,

A Model Context Protocol (MCP) server for Wikipedia, allowing you to interact with Wikipedia content through AI models and applications.

This MCP (Model Context Protocol) server for the CodeAlive API enables AI clients like Claude Desktop, Cursor, Windserf, VS Code (GitHub Copilot), Cline, Roo-Code, and Refact to access CodeAlive's advanced semantic code search and codebase interaction features.

A simple Gradio application that allows users to transform text in various ways.

Welcome to the Introduction to MCP course! This repository serves as a comprehensive guide to understanding and utilizing the Model Context Protocol (MCP) in AI applications. Below, you will find an overview of the course content, objectives, and links to additional resources.

This project implements a Model Context Protocol (MCP) server to interact with the IQ AI Agent Tokenization Platform (ATP). It allows MCP-compatible clients (like AI assistants, IDE extensions, or custom applications) to access ATP functionalities such as viewing agent statistics, managing token positions, trading agent tokens, and handling agent logs.

A mental health counseling bot that uses advanced language models and retrieval-augmented generation (RAG) to provide evidence-based mental health information and support.

K-MCP is a powerful API bridge that connects AI assistants (like Claude, GPT, etc.) to a Kali Linux terminal, enabling AI-driven penetration testing, CTF solving, and security research.

A Model Context Protocol (MCP) server that provides access to Iconify's extensive collection of icons through Claude and other MCP-compatible AI assistants.

This repository contains code samples and exercises for the MCP Workshop, demonstrating how to build AI applications using the MCP for standardized communication between AI apps and tools.

Kdeps is an all-in-one AI framework for building Dockerized full-stack AI applications (FE and BE) that includes open-source LLM models out-of-the-box.

This is MCP Server Code

This is an LLM-powered application that allows users to execute terminal commands using simple English queries like:

MCPModel Context Protocol FrameworkLLMOpenAI APIAPILLMMCPAI

This package provides a powerful MCP server to equip LLMs with web access, going beyond naive methods of searching, fetching and extracting content.

This is MCP Client using springboot

https://note.com/sachi2222/n/ndf0fe591887d

Warning: Since agentic capabilities are evolving fast, expect the API to change.

Seamless cryptocurrency data access for AI systems and applications

Welcome to the Linkedin 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.

llamalangchain0mcp

This project demonstrates how to build an application that:

How to modify the behavior of LLM agents by third parties through prompt injection by MCP protocol using prompt injection through MCP server tools description, MCP clients (agents) list and use the tools of MCP servers, the list of tools and its description goes into the agent context so it can know which tools are available and for what purpose. As the description of the tool goes to the context of the LLM, this description can be used to modify/poison the behavior of the agent by a third party: exfiltrate sensitive information, write backdoors, bugs, modify call of tools, ...

Agents Tools is an open-source Python library that provides a unified toolkit for developing autonomous AI agents. It bridges the gap between large language models and practical applications by offering ready-to-use tools for file operations, system execution, API interactions, mathematical operations, and more.

MCP is a Go implementation of the Model Context Protocol a standardized way for applications to communicate with AI models. It allows developers to seamlessly bridge applications and AI models using a lightweight, JSON-RPCbased protocol.

CodeMasterPro is an advanced AI-powered coding assistant designed to elevate the software engineering experience.

Track and Think - , AI LLM MCP

AI MCP Repository (AI MCP project repository)

FastMCP SDK Model Context Protocol (MCP) , LLM .

Willkommen in der Welt der KI diesmal mit einem besonders schlauen Kopf: Qwen3 1.7B, lokal ausgefhrt ber Ollama. Dieses Projekt zeigt dir, wie du ein Language Model so zhmst, dass es per Texteingabe Buttons in einer Java-GUI klickt. Jep, das ist so nerdig und cool, wie es klingt.

This project integrates news fetching, transcription, and AI-based content creation into a seamless pipeline. It automates the process of retrieving trending news articles, converting audio content to text, analyzing the intent and urgency using a custom MCP (Multi-Class Predictor) model, and generating human-like summaries or content using both OpenAI's GPT models and Anthropic's Claude models.

Convert online video to text, read it quickly

A Model Context Protocol (MCP) server that provides persistent shell command execution capabilities for Claude and other MCP-compatible AI assistants.

An MCP server for use with LLM chatbots providing tools related to OpenStreetMap

A Streamlit-based playground that lets you chat with large language models and seamlessly plug in external Multi-Server Command Protocol (MCP) tools. Spin up multiple FastMCP servers (Weather & Currency) alongside a Streamlit client, all orchestrated with Docker Compose. The client is provider-agnostic (OpenAI Amazon Bedrock Anthropic Google Gemini) thanks to LangChain + LangGraph.

Use verifiable randomness in your AI application. This MCP server enables you to get a random value from the drand network, verify its validity and use it as an input seed to your model-driven flows!

A demonstration repository showcasing the powerful combination of Large Language Models (LLMs) and Model Context Protocol (MCP). This integration enables AI agents to directly interact with GitHub and other services, performing real-world tasks through standardized interfaces.