AI ML Resources

This project demonstrates a simple implementation of a Model Coordination Protocol (MCP) client-server architecture using Spring AI. It includes a client application that interacts with an AI model through Ollama and a server application that provides custom tools via MCP.

This MCP server enables LLMs to POST, GET, and DELETE cron jobs that schedule email sends via SendGrid.

A high-performance MCP (Model Context Protocol) server that transforms any public GitBook into an AI-accessible knowledge base. Features instant startup, intelligent caching, and automatic domain detection.

Gitplus is a Model Context Protocol (MCP) server that brings AI-powered git automation directly to Claude Code. Streamline your git workflow with intelligent commit messages, branch suggestions, and automated pull request creation.

LLM (Large Language Model) summarization refers to the process of using advanced AI models, such as GPT or similar transformer-based architectures, to generate concise and coherent summaries of longer texts. These models are trained on vast amounts of data and can understand context, extract key points, and rephrase information in a human-like manner.

A modern, multi-provider AI chat interface that supports OpenAI, Anthropic Claude, DeepSeek, and LM Studio with advanced features like file handling, voice input, and conversation management.

A powerful bridge connecting Model Context Protocol (MCP) servers with Obsidian for enhanced knowledge discovery, AI-powered workflows, and intelligent content synthesis.

The ultimate Model Context Protocol integration platform Zero-configuration AI agent infrastructure with enterprise-grade security

Integrate Cursor AI Editor with Gmail and other services using MCP servers via Pipedream, enabling natural language-based workflows such as sending emails, retrieving inbox content, pushing to GitHub, scheduling events, and more all from inside your IDE.

A sophisticated multi-agent Retrieval-Augmented Generation (RAG) system that processes multi-format documents and answers user queries using an agentic architecture with Model Context Protocol (MCP) for seamless inter-agent communication.

AI Integration for Industrial Automation

"Ultra Think before you build and you won't break anything"

A Model Context Protocol (MCP) server that helps AI agents detect and remove duplicate code automatically. Perfect for prompts like: "Generate code that does X and make sure there is no duplicate code using dedupe-mcp".

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Transform your Notion pages with AI-powered animated hero banners! This MCP tool seamlessly integrates DALL-E 3, Google Veo 3, Cloudinary CDN, and the Notion API to create stunning animated covers for your Notion pages.

A complete AI-enhanced Model Context Protocol (MCP) ordering system that demonstrates natural language interaction with enterprise order management through intelligent tool execution.

MCP Memory is a MCP Server that gives MCP Clients (Cursor, Claude, Windsurf and more) the ability to remember information about users (preferences, behaviors) across conversations. It uses vector search technology to find relevant memories based on meaning, not just keywords. It's built with Cloudflare Workers, D1, Vectorize (RAG), Durable Objects, Workers AI and Agents.

A full-stack AI-powered web application for generating personalized, day-wise learning paths using the Model Context Protocol (MCP). The app features a modern React.js frontend and a Python (Flask) backend, integrating with Gemini, YouTube, Google Drive, and Notion via Pipedream. Users receive rich, chat-style AI responses and actionable learning plans.

Claude 3.7 Sonnet + AWS Strands Agent + Stardog Knowledge Graphs = Intelligent GEOINT Analysis

Swarm.rs is a Rust project that empowers you to build and orchestrate intelligent agents. Think of it as a control center for your digital assistants, allowing them to communicate, collaborate, and tackle complex tasks together.

This template demonstrates how to build a documentation chatbot using MCP (Model Control Protocol) servers with Mastra. It shows how to define and consume an MCP server that provides tools for interacting with your documentation.

This project provides a server that exposes a MySQL database through the Model Context Protocol (MCP), and includes a pre-configured Gemini CLI service for interacting with the server and Google's Gemini models. MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). It acts as a universal connector, allowing AI models to seamlessly connect with different data sources and tools. It allows clients to execute SQL queries, retrieve table schemas, and get a list of predefined prompts.

/workspaces/rust/main.py is simply a copy of /workspaces/rust/cocoindex/examples/code_embedding

GradioMCP

A Model Context Protocol (MCP) server that integrates with Google AI Studio / Gemini API, providing content generation capabilities with support for files, conversation history, and system prompts.

A fully automated knowledge graph construction system built on the Model Context Protocol (MCP), implementing a sophisticated 3-stage data processing pipeline for intelligent knowledge extraction and graph generation.

Your Personal Prompt Library, Intelligently Connected to Your Favorite AI Tools.

A powerful Elixir library for building and orchestrating intelligent, prompt-driven agents. BeamMePrompty simplifies the creation of complex AI workflows through a declarative DSL, enabling seamless integration with Large Language Models (LLMs) and external tools.

A revolutionary Artificial General Intelligence (AGI) platform designed to eliminate AI context exhaustion through semantic chunking, precise database retrieval, next-generation AI capabilities, and enterprise-ready governance workflows with comprehensive security features.

MCP(Model Context Protocol) AI . Spring AI MCP .

An AI-powered SQLite assistant built with OpenAI's GPT models and Model Context Protocol (MCP). This project demonstrates how to create an intelligent database query interface that can understand natural language requests and execute SQL queries with full schema awareness.

A comprehensive Model Context Protocol (MCP) server implementation for Mem0 memory management. This server provides a standardized interface for AI applications to interact with Mem0's powerful memory capabilities through the MCP protocol.

A Spring Boot application demonstrating the implementation of a remote Model Context Protocol (MCP) server using Spring AI.

A modular, AI-powered server built using FastMCP that hosts practical tools for drafting content, automating email, generating learning courses, and assigning interview panelists. Tools are designed to be composable and reusable via prompts or direct interaction.

Ein Model Context Protocol (MCP) Server fr die Cadwork 3D-Software, der es Claude und anderen KI-Assistenten ermglicht, direkt mit Cadwork 3D zu interagieren.

This is code repository for the paper " Middle Code Prediction: Enhancing Code Generation for Uncommon Programming Languages in Robotics".

A standalone server that provides OpenStudio CLI functionality through a standardized MCP (Model Context Protocol) interface. This tool enables AI assistants to interact with OpenStudio's capabilities, allowing users to perform building energy modeling tasks through natural language requests.

Memory-powered AI agent framework with MCP integration

A Model Context Protocol (MCP) server providing ML FAQ retrieval and web search capabilities.

OWL-MCP is a Model-Context-Protocol (MCP) server for working with Web Ontology Language (OWL) ontologies.

AIMCPCursorClaude DesktopMCP macOSLinuxWindows WSL

AI ClaudeGPT RAG

Broker is a Node.js backend service that acts as a client to an MCP (Model Context Protocol) server. It provides an intelligent assistant interface for energy modeling queries by leveraging OpenAI's GPT-4o-mini model and the @modelcontextprotocol/sdk. The service exposes a REST API endpoint to process user queries related to energy system inputs and generate meaningful visualizations and analyses.

An MCP server that gives language models temporal awareness and time calculation abilities. Teaching LLMs the significance of the passage of time through collaborative tool development.

A collection of MCP (Model Context Protocol) server implementations in Rust, designed for integration with AI agents and the distri framework.

A document intelligence framework for Python. Extract text, metadata, and structured information from diverse document formats through a unified, extensible API. Built on established open source foundations including Pandoc, PDFium, and Tesseract.

A comprehensive chatbot implementation that integrates with Model Context Protocol (MCP) servers and supports multiple AI service providers including OpenAI, Anthropic, Google, Cohere, Ollama, Grok, Mistral, and Perplexity.

Developed during Bio x AI Hackathon 2025

This is a Model Context Protocol (MCP) server that provides AI assistants with access to Stadia Maps APIs for location services, geocoding, routing, and mapping capabilities.

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This library provides a lightweight wrapper that makes Anthropic Model Context Protocol (MCP) tools compatible with LangChain and LangGraph.

Koog is a Kotlin-based framework designed to build and run AI agents entirely in idiomatic Kotlin. It lets you create agents that can interact with tools, handle complex workflows, and communicate with users.

A minimal MCP (Model Context Protocol) server that provides AI assistants with access to bpftrace kernel tracing capabilities.

A comprehensive Model Context Protocol (MCP) server that transforms how you manage project tracking. Seamlessly create, track, and manage bugs, feature requests, and improvements using natural language conversations with your AI assistant.