RRepoGEO

REPOGEO REPORT · LITE

firecrawl/firecrawl-mcp-server

Default branch main · commit 71aa555b · scanned 5/11/2026, 1:17:18 AM

GitHub: 6,269 stars · 718 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface firecrawl/firecrawl-mcp-server, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 and opening paragraph to emphasize LLM/AI agent integration

    Why:

    CURRENT
    # Firecrawl MCP Server

A Model Context Protocol (MCP) server implementation that integrates with Firecrawl for searching, scraping, and interacting with the web.
    COPY-PASTE FIX
    # Firecrawl MCP Server: Web Search & Scraping for LLMs and AI Agents

A Model Context Protocol (MCP) server that integrates Firecrawl to provide powerful web search, scraping, and interaction capabilities directly to LLM clients like Cursor, Claude, and other AI agents.
  • mediumtopics#2
    Add more specific LLM/AI agent related topics

    Why:

    CURRENT
    batch-processing, claude, content-extraction, data-collection, firecrawl, firecrawl-ai, javascript-rendering, llm-tools, mcp, mcp-server, model-context-protocol, search-api, web-crawler, web-scraping
    COPY-PASTE FIX
    batch-processing, claude, content-extraction, data-collection, firecrawl, firecrawl-ai, javascript-rendering, llm-tools, mcp, mcp-server, model-context-protocol, search-api, web-crawler, web-scraping, ai-agents, llm-integration, web-automation-for-llms, agentic-ai
  • lowreadme#3
    Add a "Why Firecrawl MCP Server?" section to the README

    Why:

    COPY-PASTE FIX
    ## Why Firecrawl MCP Server?

Unlike generic web scraping libraries or search APIs, Firecrawl MCP Server is specifically designed to empower Large Language Models and AI agents with real-time, structured access to the web. It provides a self-hostable, robust, and scalable API for Firecrawl's advanced web-to-structured-data conversion (Markdown, JSON), enabling deep research and interaction capabilities directly within your AI workflows.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface firecrawl/firecrawl-mcp-server
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SerpApi
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. SerpApi · recommended 1×
  2. Serper API · recommended 1×
  3. Google Search API by Google Cloud · recommended 1×
  4. Playwright · recommended 1×
  5. Puppeteer · recommended 1×
  • CATEGORY QUERY
    How to provide real-time web search and scraping data to large language models?
    you: not recommended
    AI recommended (in order):
    1. SerpApi
    2. Serper API
    3. Google Search API by Google Cloud
    4. Playwright
    5. Puppeteer
    6. Beautiful Soup
    7. lxml
    8. Cheerio
    9. Scrapy
    10. Requests
    11. Axios
    12. Fetch API

    AI recommended 12 alternatives but never named firecrawl/firecrawl-mcp-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for AI agents to browse, interact with websites, and extract structured content?
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. Selenium WebDriver (SeleniumHQ/selenium)
    3. Puppeteer (puppeteer/puppeteer)
    4. Beautiful Soup 4 (crummy/BeautifulSoup)
    5. Requests (psf/requests)
    6. Scrapy (scrapy/scrapy)
    7. Apify SDK (apify/sdk)

    AI recommended 7 alternatives but never named firecrawl/firecrawl-mcp-server. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of firecrawl/firecrawl-mcp-server?
    pass
    AI named firecrawl/firecrawl-mcp-server explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts firecrawl/firecrawl-mcp-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named firecrawl/firecrawl-mcp-server explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo firecrawl/firecrawl-mcp-server solve, and who is the primary audience?
    pass
    AI named firecrawl/firecrawl-mcp-server explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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firecrawl/firecrawl-mcp-server — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite