Open-source project showcasing how single or multiple AI Agents interact with MCP in real-world tasks. Includes both frontend and backend implementations.

MCP Space is a no-code platform for building and deploying AI tools using the Model Context Protocol (MCP). Create powerful AI agents through an intuitive chat interface without writing code, then deploy with one click to Cloudflare Workers. Combines a Next.js frontend with Google ADK backend for a seamless AI development experience.

MCP-based Word document agent with LLM integration, React frontend and FastAPI backend

🚀 A modern, full-featured web interface for Claude AI with advanced coding capabilities. Features multi-language support, terminal integration, file management, session handling, and MCP server management. Built with React + TypeScript frontend and Deno backend.

Konvo is a conversational bot with Ollama and MCP backends and a Discord frontend

A template for building MCP (Model Context Protocol) client applications, featuring a Vite + TypeScript frontend and an Express backend. Includes OAuth2.1 authentication and ready-to-use APIs for managing and interacting with MCP servers. Easily extensible for custom workflows and integrations.

MCP server for multi-repository code indexing with Qdrant vector search and LSP integration. Provides unified context across frontend, backend, and microservices for AI coding assistants like Claude Code.

Một ứng dụng web full-stack sử dụng FastAPI (GraphQL) cho backend và Quasar Framework (Vue.js) cho frontend. Quy trình phát triển tuân thủ TDD và sử dụng quy trình Design-to-Code tự động qua GitHub MCP.

MCP interface validation component for constraining and validating AI programming tools' generated frontend and backend API interface code

AI‑powered personal finance app and website with Flutter and React frontend, FastAPI backend, and an MCP server pipeline for realistic financial data and AI insights. Check out my blog: https://alwaysanidhya.medium.com/how-48-hours-of-caffeine-chaos-and-code-got-us-to-the-finals-at-googles-ai-hackathon-d988690eeb7a

This project implements an arithmetic calculator with a web-based frontend and a backend powered by Amazon Bedrock Foundation Models through LangGraph. The calculator uses LangGraph to break down arithmetic expressions into step-by-step operations and uses an MCP server to perform the actual calculations.

A sophisticated AI-powered study companion chatbot that leverages advanced AI capabilities with vector store memory retention and Model Context Protocol (MCP) integration. This project combines modern technologies for both backend and frontend to deliver a seamless learning experience with both text and voice chat capabilities.

Beminithiya is a disaster management application with a React frontend, FastAPI backend, Appwrite integration, third-party API & MCP Server support.

A Java Spring Boot backend server for the MCP project. It provides RESTful APIs for handling core functionalities and integrates OpenAI GPT for intelligent processing. Designed for scalability and easy integration with frontend applications.

A full-stack AI agent platform with Retrieval Augmented Generation (RAG), Model Context Protocol (MCP) integration, and multi-LLM support. Built with FastAPI backend and Next.js frontend, featuring a ChatGPT-like interface with streaming responses, document management, and advanced RAG capabilities.

🚀 Enterprise MCP Server with Admin Panel & Role-Based Security Production-ready Model Context Protocol server with FastAPI backend, React frontend, and advanced security features. ✨ Features: Admin Panel • RBAC • AI Analytics • File Management • Real-time Streaming Built with FastAPI, React, and modern web technologies.

Math Agent is an agentic Retrieval-Augmented Generation (RAG) system designed to replicate a mathematical professor. It answers math questions with step-by-step solutions, using a knowledge base, web search (MCP), guardrails, and a human-in-the-loop feedback mechanism. The system is built with FastAPI (backend), React (frontend), Qdrant (vector DB)

A Multimodal MCP Server for Fullstack development. Bridges local Frontend & Backend repositories to AI tools (Gemini CLI, Claude, Cursor) with seamless file & image access, bypassing workspace sandbox restrictions

MCP client backend integrated with FastAPI and Streamlit frontend.

AI-native graphical modeling platform with WebAssembly component architecture. Features MCP (Model Context Protocol) integration for seamless AI agent interaction, real-time diagram editing, and WASM-based ADAS (Advanced Driver Assistance Systems) component ecosystem. Built with Rust backend and TypeScript frontend.

GIS chatbot with React frontend, FastAPI backend, and Docker MCP tools

This solution orchestrates two specialized frontend clients, both powered by the backend MCP Servers.

A React frontend and FastAPI Websocket backend Agentic AI capable of using SwarmUI MCP tools

The full-stack MCP that bridges frontend and backend analysis — sees what single-side tools miss.

Frontend en Angular para el Sistema de Gestión de Ferretería, conectado con backend .NET y planes de integración MCP.

Demo project for all Amap MCP APIs using Node.js and JavaScript. Includes frontend and backend for testing all endpoints.

TetraNeurons is a disaster management application with a React frontend, FastAPI backend, Firebase integration , third-party API & MCP Server support.

Production incident management platform built entirely by AI agents — 195K lines of TypeScript across backend, frontend, mobile, MCP server, and Terraform provider. Built by WorkerMill.

FastAPI/HTMX frontend for an AI Finance Agent powered by Google Gemini and Whisper voice transcription. Features file upload processing and backend tool execution using MCP

Modern task management platform with FastAPI backend, SvelteKit frontend, and OAuth 2.0 API access. Features MCP integration for AI-powered workflows with Claude and other assistants.