RRepoGEO

REPOGEO REPORT · LITE

hyperbrowserai/mcp

Default branch main · commit 7492e83c · scanned 6/9/2026, 12:37:50 AM

GitHub: 768 stars · 70 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 hyperbrowserai/mcp, 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

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

OVERALL DIRECTION
  • highreadme#1
    Refine the README's opening paragraph for clearer positioning

    Why:

    CURRENT
    This is Hyperbrowser's Model Context Protocol (MCP) Server. It provides various tools to scrape, extract structured data, and crawl webpages. It also provides easy access to general purpose browser agents like OpenAI's CUA, Anthropic's Claude Computer Use, and Browser Use.
    COPY-PASTE FIX
    The Hyperbrowser Model Context Protocol (MCP) Server is a multi-agent control plane designed for advanced browser automation. It enables programmatic web scraping, structured data extraction, and crawling by orchestrating AI agents and integrating with large language models like OpenAI's CUA and Anthropic's Claude Computer Use for complex web tasks.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://smithery.ai/server/@hyperbrowserai/mcp

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 hyperbrowserai/mcp
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Playwright
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Playwright · recommended 1×
  2. LangChain · recommended 1×
  3. OpenAI GPT-4 · recommended 1×
  4. Selenium · recommended 1×
  5. BeautifulSoup · recommended 1×
  • CATEGORY QUERY
    How can I programmatically scrape web pages and extract structured data using AI agents?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. LangChain
    3. OpenAI GPT-4
    4. Selenium
    5. BeautifulSoup
    6. spaCy
    7. NLTK
    8. OpenAI GPT-3.5 Turbo
    9. Scrapy
    10. Scrapy-Playwright
    11. Scrapy-Selenium
    12. Puppeteer
    13. LangChain.js
    14. Apify
    15. Apify SDK
    16. requests
    17. Instructor

    AI recommended 17 alternatives but never named hyperbrowserai/mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help automate web browsing and integrate with large language models for tasks?
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. LangChain (langchain-ai/langchain)
    3. LlamaIndex (run-llama/llama_index)
    4. Selenium (SeleniumHQ/selenium)
    5. Puppeteer (puppeteer/puppeteer)
    6. AutoGPT (Significant-Gravitas/AutoGPT)
    7. BabyAGI (yoheinakajima/babyagi)
    8. Browserless.io (browserless/browserless)
    9. Robocorp (robocorp/rpaframework)

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

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 hyperbrowserai/mcp?
    pass
    AI named hyperbrowserai/mcp explicitly

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

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

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

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hyperbrowserai/mcp — 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