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mcp-agent-langchainjs MCP Server

Azure-Samples/mcp-agent-langchainjs

Score: 64.2 ↓ 2.1% Rank #5213 MCP Server
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Serverless AI agent using LangChain.js and Model Context Protocol (MCP) integration to order burgers from a burger restaurant

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Overview

Azure-Samples/mcp-agent-langchainjs is a TypeScript MCP server licensed under MIT. Serverless AI agent using LangChain.js and Model Context Protocol (MCP) integration to order burgers from a burger restaurant Topics: agent, ai, api, azd, azd-templates, azure, e2e, javascript, langchain-js, mcp, model-context-protocol, open-api, serverless, typescript, microservices.

Ranked #5213 out of 24846 indexed tools.

Ecosystem

TypeScript MIT
agentaiapiazdazd-templatesazuree2ejavascriptlangchain-jsmcpmodel-context-protocolopen-apiserverlesstypescriptmicroservices

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 203

203 stars → growing community

Freshness 25% 3mo ago

Last commit 3mo ago → stale

Issue Health 25% 86%

6/7 issues closed → responsive maintainer

Contributors 10% 6

6 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 98
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 111 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

"model context protocol""model-context-protocol"topic:mcptopic:model-context-protocol

From the README

<div align="center">

# AI Agent with MCP tools using LangChain.js

<br>

⭐ If you like this sample, star it on GitHub — it helps a lot!

[Overview](#overview) • [Architecture](#architecture) • [Getting started](#getting-started) • [Deploy to Azure](#deploy-to-azure) • [Run locally](#run-locally) • [MCP tools](#mcp-tools) • [Resources](#resources)

</div>

> [!IMPORTANT]
> 👉 **Follow the [full-length workshop](https://aka.ms/ws/mcp-agent)** to learn how we built this sample.

## Overview

This project demonstrates how to build AI agents that can interact with real-world APIs using the **Model Context Protocol (MCP)**. It features a complete burger ordering system with a serverless API, web interfaces, and an MCP server that enables AI agents to browse menus, place orders, and track order status. The agent uses **LangChain.js** to handle LLM reasoning and tool calling. The system consists of multiple interconnected services, as detailed in the [Architecture](#architecture) section belo
Read full README on GitHub →

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