AI ML Resources

MCP Server for Damien-CLI functionalities. This server enables AI assistants like Claude to interact with Damien's Gmail management capabilities through the MCP protocol.

A Model Context Protocol (MCP) server for responsible AI development and documentation.

This is a Model Context Protocol (MCP) server, enhanced with Supergateway, that allows AI agents to interact with the Smartlead campaign management API over Server-Sent Events (SSE).

Bibble is a command-line interface (CLI) chatbot application built in TypeScript that runs directly in your terminal. It supports OpenAI and OpenAI-compatible API endpoints, implements real-time response streaming, maintains chat memory, and functions as an MCP (Model Context Protocol) client.

This tool uses Claude Code's MCP capabilities to automatically analyze GitHub repositories, generate documentation, and create visual diagrams of code architecture.

LLM deepseek-chat v3tools (deepseek-reasoner)

A Model Context Protocol server that provides web content fetching and local file saving capabilities. This server enables LLMs to retrieve content from web pages, convert HTML to markdown for easier consumption, and save the retrieved content to a local file.

Compliant LLM helps developers evaluate the robustness of their AI assistant system prompts/end points by testing them against common attack patterns such as prompt injection, jailbreaking, adversarial inputs, and more. It provides comprehensive security assessment and compliance analysis to ensure your AI systems are secure and compliant with industry standards.

A ready-to-use implementation of the Model Context Protocol (MCP) that extends Claude with real-time weather data capabilities.

ManusMCP serverMCP ClientRAGFunction CallLLM

Natural language interface for scRNA-Seq analysis with Scanpy through MCP.

This project transforms the AI Code Translator into a Model Control Protocol (MCP) server, allowing other applications to interact with the translator through a standardized API. It includes an Astutely chatbot for interactive coding assistance and a vulnerability scanner for code security analysis.

This project configures the MCP server to view company information and stock prices using Claude.

Go MCP (Model Context Protocol) FM API (LLM) MCP

A lightweight, local Retrieval-Augmented Generation (RAG) memory store for MCP agents. Memory-Plus lets your agent record, retrieve, update, and visualize persistent "memories"notes, ideas, and session contextacross runs.

A server-based tool that leverages Manim to generate mathematical animations from text prompts.

Poc on creating your own mcp server and integrate with cursor ai

The OP.GG MCP Server is a Model Context Protocol implementation that seamlessly connects OP.GG data with AI agents and platforms. This server enables AI agents to retrieve various OP.GG data via function calling.

An example of how to build an Agent that acts as an MCP Client, so that it can connect to external services via MCP.

A Model Context Protocol (MCP) server based on Puppeteer that provides web automation capabilities to AI agents.

Grasp is an open-source and self-hosted agentic browser. With built-in support for MCP and A2A support, it can seamlessly integrate with any other AI apps or agents.

Talk to Your Slides: Language-Driven Agents for Efficient Slide Editing Our research paper will be published soon! Our code is now available!

Quick LangChain MCP demo with LLMs

A Python-based chatbot that helps users search and retrieve information from arXiv papers using natural language queries. The chatbot uses the Claude API for natural language processing and the arXiv API for paper searches.

wietnie! Stworzymy kompletny AI-powered DevOps System oparty na Model Context Protocol (MCP), ktry:

A framework for evaluating open-ended tool use across various large language models.

Claude AIZapierMCP (Model Context Protocol) Claude

MCP-DAB-DEMO is a demo solution built with Blazor (.NET 9) that showcases an AI-powered chat assistant for insurance representatives. The solution demonstrates integration with modern APIs and AI services to help users interact with customer data, find savings, and streamline communication.

DeepChat is a feature-rich open-source AI chat platform supporting multiple cloud and local large language models with powerful search enhancement and tool calling capabilities.

Fabin Abarca Caldern

A basic implementation of a Model Context Protocol (MCP) server that demonstrates core functionality, including tools and resources. This guide will walk you through the steps to initialize, inspect, and integrate the server.

Example project demonstrating how to expose FastAPI endpoints as Model Context Protocol (MCP) tools using fastapi-mcp. Includes a basic LangChain agent (langchain_client.py) that connects to the local FastAPI server via HTTP/SSE using langchain-mcp-adapters to discover and use the exposed tools.

This project is a robust FastAPI-based backend system designed to manage multiple Model Context Protocol (MCP) agents with WebSocket support for real-time chat functionality.

This project implements a Model Context Protocol (MCP) suite for power grid operations research, enabling Large Language Models (LLMs) to interact with real-time grid data, analytics tools, and visualization resources.

A read-only Model Context Protocol (MCP) server for ADIOS datasets, enabling LLMS to query scientific simulation and real-time data.

A plug-and-play server that speaks OpenAIs Responses APIno matter which AI backend youre running.

A high-performance async Model Context Protocol (MCP) server that enables AI assistants to interact with cancer genomics data from cBioPortal, a platform for exploring multidimensional cancer genomics datasets. Built with modern asynchronous Python for significantly faster data retrieval.

Jupyter Earth MCP Server is a Model Context Protocol (MCP) server implementation that provides a set of tools for Geospatial analysis in Jupyter notebooks.

A Model Context Protocol (MCP) server for querying large JSON files. This server provides tools for working with large JSON data that can be used by LLM models implementing the Model Context Protocol.

Tiny Agent: 100 lines Agent with MCP

This is a CLIP-Based Fashion Recommender with MCP.

A minimal agents application built with the OpenAI-Agents-SDK and MCP.

MCP server to search private data in Vertex AI Search.

LeMCP is an innovative project that bridges artificial intelligence and robotics. By leveraging the power of Lerobot and MCP, LeMCP enables seamless integration of AI algorithms into robotic systems, unlocking new possibilities for automation and intelligent decision-making.

The AI Travel Agents is a robust enterprise application that leverages multiple AI agents to enhance travel agency operations. The application demonstrates how six AI agents collaborate to assist employees in handling customer queries, providing destination recommendations, and planning itineraries.

A modular customer service system that uses LangChain and the Model Context Protocol (MCP) to handle e-commerce customer inquiries about orders and logistics.

Complete Coda API client with MCP integration for AI automation

ai mcp service

MCP Local Resources Standalone Java Model Context Protocol (MCP) Java SDK AI MCP

The AAS MCP Server currently provides two tools for interacting with Asset Administration Shell (AAS) data. aas_explore gives an overview on existing AAS instances and their submodels on a given AAS server endpoint. aas_parser extracts all the submodel elements and their path from a given AAS id hosted on the AAS server endpoint and saves them in a dataframe csv for the further usage.

This project provides a Model Context Protocol (MCP) server for interacting with the Raindrop.io bookmarking service. It allows Language Models (LLMs) and other AI agents to access and manage your Raindrop.io data through the MCP standard.

A custom MCP (Model Calling Protocol) server that provides RAG (Retrieval-Augmented Generation) capabilities using LlamaIndex and multiple web search options via Google's Gemini 2.0 API and Linkup.

Este proyecto implementa un servidor multi-agente que enruta preguntas del usuario a un modelo LLM o a agentes especializados (como fecha, ubicacin, clima o un experto tcnico). Incluye una interfaz web sencilla construida con Streamlit para facilitar su uso.

A demonstration of implementing an LLM Agent with tool access using MCP-Use and Groq.

AI Host(Claude, OpenAI, ) MCP . Postman Collection, Environment, Data json .

compLete is an integrated AI-powered framework that accelerates and automates SysML model development, validation, and completion for automotive systems-engineering projects. It combines: