RRepoGEO

REPOGEO REPORT · LITE

firecrawl/firecrawl-mcp-server

Default branch main · commit e30722e5 · scanned 6/21/2026, 3:26:48 AM

GitHub: 6,641 stars · 770 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
33 /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
2 / 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 to highlight its server-for-AI-agents nature

    Why:

    CURRENT
    A Model Context Protocol (MCP) server that brings Firecrawl to MCP-compatible AI agents — search, scrape, and interact with the live web for clean, agent-ready context.
    COPY-PASTE FIX
    A Model Context Protocol (MCP) server that brings Firecrawl to MCP-compatible AI agents — search, scrape, and interact with the live web for clean, agent-ready context. Unlike client-side libraries or simple APIs, this server provides a robust, scalable backend for AI agents to access the live web, delivering clean, structured data directly into their context.
  • mediumtopics#2
    Add specific topics for AI agents and backend tooling

    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, agent-tooling, llm-backend
  • mediumcomparison#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Why Firecrawl MCP Server? (vs. Playwright, Scrapy, or SerpAPI)' or similar, explaining its unique value proposition as a server for AI agents, handling orchestration, context, and integration, unlike client-side tools or simple APIs.

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
Playwright
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Playwright · recommended 2×
  2. Puppeteer · recommended 2×
  3. Scrapy · recommended 2×
  4. SerpAPI · recommended 1×
  5. Serper API · recommended 1×
  • CATEGORY QUERY
    How can I provide real-time web search and scraping capabilities to my AI agent?
    you: not recommended
    AI recommended (in order):
    1. SerpAPI
    2. Serper API
    3. Beautiful Soup 4
    4. Cheerio
    5. Requests
    6. Axios
    7. Fetch API
    8. Playwright
    9. Puppeteer
    10. Scrapy
    11. Diffbot
    12. Apify

    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 interact with web pages and extract structured data?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. Selenium WebDriver
    3. Puppeteer
    4. Beautiful Soup
    5. Scrapy
    6. Apify SDK

    AI recommended 6 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 did not name firecrawl/firecrawl-mcp-server — likely talking about a different project

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

Embed your GEO score

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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