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 client backend integrated with FastAPI and Streamlit frontend.

Frontend for adding tools & using those tools

includes a frontend -> mcp client http wrapper -> mcp server example

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

A multi-language reference implementation of the Model Context Protocol (MCP) featuring a Spring Boot MCP client, Java SSE MCP server, Python MCP server, and an interactive chat frontend — showcasing AI-powered tool invocation and seamless client-server integration.

A dynamic MCP (Model Context Protocol) service bridge that supports dynamic registration of MCP capabilities via Web UI or API, with SSE protocol support and bidirectional communication between MCP clients and frontends.

A full-stack solution for AI-powered resume and job description parsing/matching, consisting of: Frontend: Next.js Client – Clean UI for pasting and comparing resumes and JDs. Backend: Express.js MCP Server – Stateless HTTP/JSON-RPC API serving parser/matcher tools, with streaming support (SSE).

GENIE is a modern, full-stack template designed for building AI agents using LangGraph.js on the frontend and Model Context Protocol (MCP) on the backend. It combines a high-performance Next.js 15 client with a flexible Python server, offering a robust foundation for intelligent applications.

MCP Client Frontend

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Frontend for Arbitrum MCP client

MCP async clients meet Python frontends

main app frontend & mcp client of the docAgent mcp server

FastMCP python MCP server client NextJS frontend app demo

MCP Server/Client in Java + Frontend in Angular, it's a automatic lead funneller in Pipefy.

Test project to create an MCP Server, Agentic client in Vertex, and deploy to a web frontend

An example chatbot application with a react frontend that communicates to a backend python API which uses a FastAgent MCP Client/Host to spin up Cortex MCP Servers.

A simple MCP-style server built with Cloudflare Workers using a restaurant analogy, with a frontend client for end-to-end communication.

A web-based chat client for interacting with frontier LLMs and local MCP servers. Demonstrates how to build a React + TypeScript frontend that connects to an MCP server (e.g., ebook-mcp) with tool execution confirmation, real-time messaging, and multi-LLM support.

A sample project which shows how to use the A2A protocol with a frontend web client to communicate with an nmt-fastapi-reference instance using MCP.

A MCP server and client with a Chainlit frontend that uses Gemini as the LLM and uses the Spotify and Wikipedia APIs as tools to answer music queries, using LangChain/LangGraph to call tools

In this multi functionality like RAG base, multi Tools with Agentic application and techs are used langchain, langgraph, fastapi, using mcp client and in frontend for UI used very advanced NextJS and many more.

A comprehensive Model Context Protocol (MCP) implementation featuring a Spring Boot client, Python server, and Angular frontend. This system demonstrates AI-powered chat functionality with tool integration for stock information, company data, file system operations, and employee management.