RRepoGEO

REPOGEO REPORT · LITE

apify/apify-mcp-server

Default branch master · commit 29f3db2e · scanned 5/9/2026, 10:36:55 AM

GitHub: 1,201 stars · 165 forks

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 apify/apify-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
    Clarify the MCP server's role as an AI agent interface for web data extraction

    Why:

    CURRENT
    The Apify Model Context Protocol (MCP) server at **mcp.apify.com** enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, and any other website using thousands of ready-made scrapers, crawlers, and automation tools from Apify Store. It supports OAuth, allowing you to connect from clients like Claude.ai or Visual Studio Code using just the URL.
    COPY-PASTE FIX
    The **Apify Model Context Protocol (MCP) server** is a dedicated interface that empowers your AI agents to perform advanced web data extraction. It acts as a secure gateway, allowing AI agents to seamlessly access and utilize thousands of ready-made web scrapers, crawlers, and automation tools available on the Apify Store, enabling efficient data collection from social media, search engines, e-commerce sites, and any other website. Connect your AI assistant via OAuth from clients like Claude.ai or Visual Studio Code using just the server URL.
  • hightopics#2
    Expand repository topics to include broader categories and keywords

    Why:

    CURRENT
    agents, ai, mcp, mcp-server
    COPY-PASTE FIX
    ai-agents, web-scraping, data-extraction, api, server, automation, apify, llm-tools, model-context-protocol
  • mediumreadme#3
    Add a 'Why Apify MCP Server?' section to highlight its unique differentiator

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Why Apify MCP Server?' or 'How is this different?' that explicitly states: 'Unlike low-level web scraping libraries (e.g., Scrapy, Playwright) that require manual coding for each site, or general web scraping platforms, the Apify MCP Server provides a specialized interface for AI agents to leverage a vast library of pre-built, robust Apify Actors. This allows AI agents to perform complex, structured data extraction tasks without needing to manage infrastructure or develop custom scrapers.'

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 apify/apify-mcp-server
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Apify
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Apify · recommended 2×
  2. Scrapy · recommended 1×
  3. Beautiful Soup · recommended 1×
  4. Requests · recommended 1×
  5. Playwright · recommended 1×
  • CATEGORY QUERY
    How can I enable my AI agents to extract structured data from diverse websites?
    you: not recommended
    AI recommended (in order):
    1. Scrapy
    2. Beautiful Soup
    3. Requests
    4. Playwright
    5. Puppeteer
    6. Selenium WebDriver
    7. Portia
    8. Diffbot
    9. Apify

    AI recommended 9 alternatives but never named apify/apify-mcp-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find pre-built web scraping tools for automating data collection for AI?
    you: not recommended
    AI recommended (in order):
    1. Bright Data
    2. ScrapingBee
    3. Apify
    4. Octoparse
    5. ParseHub
    6. Zyte
    7. Import.io

    AI recommended 7 alternatives but never named apify/apify-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 apify/apify-mcp-server?
    pass
    AI did not name apify/apify-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?

  • If a team adopts apify/apify-mcp-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named apify/apify-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 apify/apify-mcp-server solve, and who is the primary audience?
    pass
    AI named apify/apify-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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