Introduction to LangGraph.js with MCP

LangGraph.js with MCP is a powerful tool designed for developers looking to integrate web scraping capabilities into their applications. This project connects with Firecrawl for web scraping and utilizes Composio for seamless data handling, while also incorporating gotoHuman for expert review processes.

Project Purpose and Main Features

The primary goal of LangGraph.js with MCP is to facilitate efficient web scraping while ensuring that the data collected is vetted by subject-matter experts. Here are some of the key features:

• Integration with Firecrawl: Enables robust web scraping capabilities.
• Expert Review: Uses gotoHuman for approvals, ensuring data quality.
• Composio Support: Simplifies the connection to Firecrawl MCP servers.
• Easy Setup: Quick installation and configuration process.

Technical Architecture and Implementation

LangGraph.js with MCP is built on a solid architecture that allows for easy integration and scalability. The project consists of 34 files and 3429 lines of code, indicating a well-structured codebase. The architecture includes:

• Node.js Environment: The project runs on Node.js, making it suitable for server-side applications.
• API Integration: Connects with Firecrawl and gotoHuman APIs for data scraping and review.
• Environment Variables: Utilizes environment variables for secure API key management.

Setup and Installation Process

Setting up LangGraph.js with MCP is straightforward. Follow these steps:

1. Obtain your Firecrawl API key from firecrawl.dev/app.
2. Get the URL of your Composio Firecrawl MCP server from mcp.composio.dev/firecrawl.
3. Acquire your gotoHuman API key at app.gotohuman.com.
4. Set the following environment variables:

OPENAI_API_KEY = sk-proj-XXX
GOTOHUMAN_API_KEY=XYZ

5. Run the installation command:

npm install

6. Start the application:

npm run dev

Usage Examples and API Overview

Once set up, you can start using LangGraph.js with MCP for web scraping. Here’s a simple example:

// Example of initiating a scrape
const { Firecrawl } = require('langgraph-js-mcp');

const firecrawl = new Firecrawl({ apiKey: 'YOUR_FIRECRAWL_API_KEY' });

firecrawl.scrape('https://example.com').then(data => {
  console.log(data);
});

This code snippet demonstrates how to initiate a scrape using the Firecrawl API. You can customize the scraping parameters based on your requirements.

Community and Contribution Aspects

LangGraph.js with MCP is an open-source project, and contributions are welcome! Here’s how you can get involved:

• Fork the Repository: Start by forking the project on GitHub.
• Submit Issues: Report any bugs or feature requests.
• Pull Requests: Contribute code improvements or new features.

Join the community discussions and help improve the project!

License and Legal Considerations

LangGraph.js with MCP is licensed under the MIT License. This allows you to use, copy, modify, and distribute the software freely, provided that the copyright notice and permission notice are included in all copies or substantial portions of the software.

For more details, refer to the license file in the repository.

Conclusion

LangGraph.js with MCP is a versatile tool for developers looking to implement web scraping with expert review capabilities. Its integration with Firecrawl and gotoHuman makes it a unique solution in the open-source landscape. Start your journey today by visiting the GitHub repository and explore the possibilities!

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