Firecrawl Web Search

Learn how to use Klavis to connect your AI application to Firecrawl Web Search MCP Server

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For Developer

Follow the instructions below to integrate Firecrawl Web Search MCP server to your AI application using our API or SDK.

Prerequisites

• Create an API key

1. Create a Firecrawl Web Search MCP Server

Use the following endpoint to create a new remote Firecrawl Web Search MCP server instance:

Request

Python

from klavis import Klavis
from klavis.types import McpServerName

klavis_client = Klavis(api_key="<YOUR_API_KEY>")

# Create a Firecrawl Web Search MCP server instance
firecrawl_web_search_server = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.FIRECRAWL_WEB_SEARCH,
    user_id="<YOUR_USER_ID>",
    platform_name="<YOUR_PLATFORM_NAME>",
)

Response

Response

{
  "serverUrl": "https://firecrawl-websearch-mcp-server.klavis.ai/sse?instance_id=<instance-id>",
  "instanceId": "<instance-id>"
}

serverUrl specifies the endpoint of the Firecrawl Web Search MCP server, which allows you to perform real-time web searches.

instanceId is used for authentication and identification of your server instance.

2. Configure Firecrawl API Key

To use the Firecrawl Deep Research MCP Server, you need to configure it with your Firecrawl API key.

Setting up Firecrawl API Key

cURL

curl --request POST \
  --url https://api.klavis.ai/mcp-server/instance/set-auth \
  --header 'Authorization: Bearer <YOUR_KLAVIS_API_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
  "instanceId": "<YOUR_INSTANCE_ID>",
  "authData": {
    "token": "<YOUR_FIRECRAWL_API_KEY>"
  }
}'

Response

Response

{
  "success": true,
  "message": "<string>"
}

Explore MCP Server Tools

Tools Information

Tool Name	Description
firecrawl_scrape	Scrape 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_map	Discover URLs from a starting point. Can use both sitemap.xml and HTML link discovery.
firecrawl_crawl	Start an asynchronous crawl of multiple pages from a starting URL. Supports depth control, path filtering, and webhook notifications.
firecrawl_check_crawl_status	Check the status of a crawl job.
firecrawl_batch_scrape	Scrape multiple URLs in batch mode. Returns a job ID that can be used to check status.
firecrawl_check_batch_status	Check the status of a batch scraping job.
firecrawl_search	Search 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_extract	Extract structured information from web pages using LLM. Supports both cloud AI and self-hosted LLM extraction.
firecrawl_generate_llmstxt	Generate 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 list_tool API.