RRepoGEO

REPOGEO REPORT · LITE

MobinX/awesome-mcp-list

Default branch main · commit 093d8564 · scanned 6/14/2026, 1:47:36 AM

GitHub: 879 stars · 229 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 MobinX/awesome-mcp-list, 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 "MCP" in README title and opening paragraph

    Why:

    CURRENT
    # Awesome MCP Servers - Concise List

Note that this list is continuously updating and improving.
    COPY-PASTE FIX
    # Awesome Model Context Protocol (MCP) Servers - Concise List for AI Agents

This list curates servers and tools implementing the Model Context Protocol (MCP) for AI agents, focusing on capabilities like browser control and data extraction. Note that this list is continuously updating and improving.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    model-context-protocol, mcp, ai-agents, web-automation, browser-control, awesome-list
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root, for example, with the MIT License text.

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 MobinX/awesome-mcp-list
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
microsoft/playwright
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. microsoft/playwright · recommended 1×
  2. SeleniumHQ/selenium · recommended 1×
  3. puppeteer/puppeteer · recommended 1×
  4. Browserless · recommended 1×
  5. scrapinghub/splash · recommended 1×
  • CATEGORY QUERY
    What tools help AI agents control web browsers for information gathering?
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. Selenium WebDriver (SeleniumHQ/selenium)
    3. Puppeteer (puppeteer/puppeteer)
    4. Browserless
    5. Splash (scrapinghub/splash)
    6. Beautiful Soup (crummy/BeautifulSoup)
    7. Requests (psf/requests)
    8. Scrapy (scrapy/scrapy)

    AI recommended 8 alternatives but never named MobinX/awesome-mcp-list. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to find open-source servers for programmatic web browsing and data extraction?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. Selenium WebDriver
    3. Puppeteer
    4. Beautiful Soup
    5. requests
    6. httpx
    7. Scrapy
    8. Cheerio
    9. node-fetch
    10. axios
    11. Go-Rod

    AI recommended 11 alternatives but never named MobinX/awesome-mcp-list. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 MobinX/awesome-mcp-list?
    pass
    AI did not name MobinX/awesome-mcp-list — 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 MobinX/awesome-mcp-list in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MobinX/awesome-mcp-list 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 MobinX/awesome-mcp-list solve, and who is the primary audience?
    pass
    AI named MobinX/awesome-mcp-list explicitly

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

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MobinX/awesome-mcp-list — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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