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Prerequisites Before you begin, create an account and get your API Key.

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Getting started

Connect to Firecrawl Web Search to perform advanced web scraping, content extraction, and automated web crawling through AI agents.
  • API
  • UI
  • Open Source
1

Install the SDKs (optional)

pip install klavis
2

Create a Strata MCP Server with Firecrawl Web Search

from klavis import Klavis
from klavis.types import McpServerName

klavis_client = Klavis(api_key="YOUR_API_KEY")

# Create a Strata MCP server with Firecrawl Web Search
response = klavis_client.mcp_server.create_strata_server(
    servers=[McpServerName.FIRECRAWL_WEB_SEARCH],
    user_id="user123"
)

API Reference

Full Strata API endpoints
3

Authenticate with API Key

You can get your Firecrawl API key from the Firecrawl website.
klavis_client.mcp_server.set_strata_auth(
    strata_id=response.strata_id,
    server_name=McpServerName.FIRECRAWL_WEB_SEARCH,
    auth_data={
        "api_key": "YOUR_FIRECRAWL_API_KEY"
    }
)
🎉 Your Firecrawl Web Search MCP Server is ready! Once authentication is complete, you can use your MCP server URL with any MCP-compatible client.

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Available Tools

Tool NameDescription
firecrawl_scrapeScrape a single webpage with advanced options for content extraction. Supports various formats including markdown, HTML, and screenshots. Can execute custom actions like clicking or scrolling before scraping.
firecrawl_mapDiscover URLs from a starting point. Can use both sitemap.xml and HTML link discovery.
firecrawl_crawlStart an asynchronous crawl of multiple pages from a starting URL. Supports depth control, path filtering, and webhook notifications.
firecrawl_check_crawl_statusCheck the status of a crawl job.
firecrawl_batch_scrapeScrape multiple URLs in batch mode. Returns a job ID that can be used to check status.
firecrawl_check_batch_statusCheck the status of a batch scraping job.
firecrawl_searchSearch and retrieve content from web pages with optional scraping. Returns SERP results by default (url, title, description) or full page content when scrapeOptions are provided.
firecrawl_extractExtract structured information from web pages using LLM. Supports both cloud AI and self-hosted LLM extraction.
firecrawl_generate_llmstxtGenerate standardized LLMs.txt file for a given URL, which provides context about how LLMs should interact with the website.
For more details about tool input schema, use the get_tools API.

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Next Steps

AI Platform Integrations

Integrate Klavis MCP Servers with leading AI platforms

Integrations

Explore available MCP servers

API Reference

REST endpoints and schemas

White-label Authentication

Customize OAuth flows with your own branding
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