Is Mcp Agent Langchainjs safe to use?

Mcp Agent Langchainjs has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install Mcp Agent Langchainjs?

Mcp Agent Langchainjs can be installed by cloning its GitHub repository and following the setup instructions in the README.

What can Mcp Agent Langchainjs do?

Mcp Agent Langchainjs provides 4 tools: browse_menu, place_order, track_order, get_beer_recommendations. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Mcp Agent Langchainjs?

Mcp Agent Langchainjs is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.

Is Mcp Agent Langchainjs actively maintained?

Mcp Agent Langchainjs is actively maintained — last commit was 18 days ago. It has 191 GitHub stars.

Mcp Agent Langchainjs

Name: Mcp Agent Langchainjs
Author: Azure-Samples

Official

by Azure-Samples

Serverless AI agent using LangChain.js and Model Context Protocol (MCP) integration to order burgers from a burger restaurant

191 4 tools GitHub

No known CVEs

MIT license

Actively maintained

Last commit 18d ago

Works with most clients

Transport: stdio, http

4 tools · ~152 tok

Grade A · 0.1% of 200K ctx

MCPpedia last refreshed this data 7h ago

Edit this pageView history

AI / ML Developer Tools

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mcp-agent-langchainjs": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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Read me

What Mcp Agent Langchainjs does

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

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

75/100across 5 weighted dimensions

How we score →

0255075100

−25

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (4)

Click any tool to inspect its schema.

~152 tokens total

Community

Reviews

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Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Mcp Agent Langchainjs safe to use?: Mcp Agent Langchainjs has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Mcp Agent Langchainjs?: Mcp Agent Langchainjs can be installed by cloning its GitHub repository and following the setup instructions in the README.
What can Mcp Agent Langchainjs do?: Mcp Agent Langchainjs provides 4 tools: browse_menu, place_order, track_order, get_beer_recommendations. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Mcp Agent Langchainjs?: Mcp Agent Langchainjs is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is Mcp Agent Langchainjs actively maintained?: Mcp Agent Langchainjs is actively maintained — last commit was 18 days ago. It has 191 GitHub stars.

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MCP Security Weekly

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Community

Discussion

Start a conversation

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

AI / ML Developer Tools

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mcp-agent-langchainjs": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/mcp-agent-langchainjs)](https://mcppedia.org/s/mcp-agent-langchainjs)

Read me

What Mcp Agent Langchainjs does

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

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

AI Agent with MCP tools using LangChain.js

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

Overview • Architecture • Getting started • Deploy to Azure • Run locally • MCP tools • Resources

[!IMPORTANT] 👉 Follow the full-length workshop 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 section below.

The system is hosted on Azure Static Web Apps (web apps) and Azure Functions (API and MCP servers), with Azure Cosmos DB for NoSQL for data storage. You can use it as a starting point for building your own AI agents.

[!TIP] You can test this application locally without deployment needed or any cloud costs. The MCP server also works with popular AI tools like GitHub Copilot, Claude, and other MCP-compatible clients. Follow the instructions in the Local Development section to get started.

Key features

LangChain.js agent with tool calling via MCP (Streamable HTTP transport)
Multi-service, end‑to‑end architecture (web UIs, APIs, MCP server)
User authentication with sessions history
100% serverless architecture, for cost-effective scaling
Single-command deployment using Infrastructure as Code (IaC)

Architecture

Building AI applications can be complex and time-consuming, but using LangChain.js and Azure serverless technologies allows to greatly simplify the process. This application is a AI agent that can be access through different interfaces (web app, CLI) and that can call tools through MCP to interact with a burger ordering API.

The application is made from these main components:

| Component

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

75/100across 5 weighted dimensions

How we score →

0255075100

−25

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (4)

Click any tool to inspect its schema.

~152 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Mcp Agent Langchainjs safe to use?: Mcp Agent Langchainjs has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Mcp Agent Langchainjs?: Mcp Agent Langchainjs can be installed by cloning its GitHub repository and following the setup instructions in the README.
What can Mcp Agent Langchainjs do?: Mcp Agent Langchainjs provides 4 tools: browse_menu, place_order, track_order, get_beer_recommendations. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Mcp Agent Langchainjs?: Mcp Agent Langchainjs is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is Mcp Agent Langchainjs actively maintained?: Mcp Agent Langchainjs is actively maintained — last commit was 18 days ago. It has 191 GitHub stars.