Langgraph Js Mcp
What is Langgraph Js Mcp
langgraph-js-mcp is an AI agent example that utilizes the LangGraph MCP adapter to connect with Firecrawl for web scraping, leveraging Composio for data handling and gotoHuman for expert approvals.
Use cases
Use cases include automating data collection from websites, validating scraped information through expert reviews, and enhancing data accuracy in research and analytics.
How to use
To use langgraph-js-mcp, obtain the Firecrawl API key and the URL of your Composio Firecrawl MCP server. Set up the gotoHuman API key for review processes. Install the necessary packages using npm and run the application with ‘npm run dev’.
Key features
Key features include integration with Firecrawl for efficient web scraping, the ability to connect with Composio for data management, and the use of gotoHuman for subject-matter expert approvals.
Where to use
langgraph-js-mcp can be used in fields such as web scraping, data analysis, and any application requiring expert validation of scraped data.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Langgraph Js Mcp
langgraph-js-mcp is an AI agent example that utilizes the LangGraph MCP adapter to connect with Firecrawl for web scraping, leveraging Composio for data handling and gotoHuman for expert approvals.
Use cases
Use cases include automating data collection from websites, validating scraped information through expert reviews, and enhancing data accuracy in research and analytics.
How to use
To use langgraph-js-mcp, obtain the Firecrawl API key and the URL of your Composio Firecrawl MCP server. Set up the gotoHuman API key for review processes. Install the necessary packages using npm and run the application with ‘npm run dev’.
Key features
Key features include integration with Firecrawl for efficient web scraping, the ability to connect with Composio for data management, and the use of gotoHuman for subject-matter expert approvals.
Where to use
langgraph-js-mcp can be used in fields such as web scraping, data analysis, and any application requiring expert validation of scraped data.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
LangGraph.js with MCP <-> Firecrawl | gotoHuman
AI agent example built with LangGraph’s MCP adapter connecting with Firecrawl for web scraping via Composio and using gotoHuman for approvals by subject-matter experts.
Setup
- Get Firecrawl API key at firecrawl.dev/app
- Get URL of your Composio Firecrawl MCP server at mcp.composio.dev/firecrawl
- No proper auth handling in Composio’s MCPs yet, so install the MCP server in Cursor first, do a test scrape and pass a restricted demo Firecrawl API key when asked. Now the connection is initialized.
- Get gotoHuman API key and set up review at app.gotohuman.com
Environment variables
OPENAI_API_KEY = sk-proj-XXX GOTOHUMAN_API_KEY=XYZ
Install
npm install
Run
npm run dev
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
