> ## Documentation Index
> Fetch the complete documentation index at: https://firecrawl-abimaelmartell-agent-default-model.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Developers & MCP

> Build powerful integrations with Model Context Protocol support

Developers use Firecrawl's MCP server to add web scraping to Claude Desktop, Cursor, and other AI coding assistants.

## Start with a Template

<CardGroup cols={2}>
  <Card title="MCP Server Firecrawl" icon="github" href="https://github.com/firecrawl/firecrawl-mcp-server">
    Official MCP server - Add web scraping to Claude Desktop and Cursor
  </Card>

  <Card title="Open Lovable" icon="github" href="https://github.com/firecrawl/open-lovable">
    Build complete applications from any website instantly
  </Card>
</CardGroup>

<Note>
  **Get started with MCP in minutes.** Follow our [setup guide](https://github.com/firecrawl/firecrawl-mcp-server#installation) to integrate Firecrawl into Claude Desktop or Cursor.
</Note>

## How It Works

Integrate Firecrawl directly into your AI coding workflow through Model Context Protocol. Once configured, your AI assistant gains access to a set of web scraping tools it can call on your behalf:

| Tool             | What it does                                               |
| ---------------- | ---------------------------------------------------------- |
| **Scrape**       | Extract content or structured data from a single URL       |
| **Batch Scrape** | Extract content from multiple known URLs in parallel       |
| **Map**          | Discover all indexed URLs on a website                     |
| **Crawl**        | Walk a site section and extract content from every page    |
| **Search**       | Search the web and optionally extract content from results |

Your assistant picks the right tool automatically — ask it to "read the Next.js docs" and it will scrape; ask it to "find all blog posts on example.com" and it will map then batch scrape.

## Why Developers Choose Firecrawl MCP

### Build Smarter AI Assistants

Give your AI real-time access to documentation, APIs, and web resources. Reduce outdated information and hallucinations by providing your assistant with the latest data.

### Zero Infrastructure Required

No servers to manage, no crawlers to maintain. Just configure once and your AI assistant can access websites instantly through the Model Context Protocol.

## Customer Stories

<CardGroup cols={2}>
  <Card href="https://www.firecrawl.dev/blog/how-botpress-enhances-knowledge-base-creation-with-firecrawl">
    **Botpress**

    Discover how Botpress uses Firecrawl to streamline knowledge base population and improve developer experience.
  </Card>

  <Card href="https://www.firecrawl.dev/blog/how-answer-hq-powers-ai-customer-support-with-firecrawl">
    **Answer HQ**

    Learn how Answer HQ uses Firecrawl to help businesses import website data and build intelligent support assistants.
  </Card>
</CardGroup>

## FAQs

<AccordionGroup>
  <Accordion title="Which AI assistants support MCP?">
    Currently, Claude Desktop and Cursor have native MCP support. More AI assistants are adding support regularly. You can also use the MCP SDK to build custom integrations.
  </Accordion>

  <Accordion title="Can I use MCP in VS Code or other IDEs?">
    VS Code and other IDEs can use MCP through community extensions or terminal integrations. Native support varies by IDE. Check our [GitHub repository](https://github.com/firecrawl/firecrawl-mcp-server) for IDE-specific setup guides.
  </Accordion>

  <Accordion title="How do I cache frequently accessed docs?">
    The MCP server automatically caches responses for 15 minutes. You can configure cache duration in your MCP server settings or implement custom caching logic.
  </Accordion>

  <Accordion title="Is there a rate limit for MCP requests?">
    MCP requests use your standard Firecrawl API rate limits. We recommend batching related requests and using caching for frequently accessed documentation.
  </Accordion>

  <Accordion title="How do I set up MCP with my Firecrawl API key?">
    Follow our [setup guide](https://github.com/firecrawl/firecrawl-mcp-server#installation) to configure MCP. You'll need to add your Firecrawl API key to your MCP configuration file. The process takes just a few minutes.
  </Accordion>
</AccordionGroup>

## Related Use Cases

* [AI Platforms](/use-cases/ai-platforms) - Build AI-powered dev tools
* [Deep Research](/use-cases/deep-research) - Complex technical research
* [Content Generation](/use-cases/content-generation) - Generate documentation