RRepoGEO

REPOGEO REPORT · LITE

YuzeHao2023/Awesome-MCP-Servers

Default branch main · commit 4136c658 · scanned 5/22/2026, 7:43:00 PM

GitHub: 1,045 stars · 160 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
22 /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
1 / 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 YuzeHao2023/Awesome-MCP-Servers, 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
  • mediumhomepage#1
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://github.com/YuzeHao2023/Awesome-MCP-Servers
  • mediumreadme#2
    Strengthen the README's opening to emphasize its 'awesome list' nature

    Why:

    CURRENT
    A curated, community-driven list of awesome Model Context Protocol (MCP) servers, tools, frameworks, clients, and utilities.
    COPY-PASTE FIX
    This is a **curated, community-driven awesome list** of Model Context Protocol (MCP) servers, tools, frameworks, clients, and utilities. It serves as a comprehensive directory for discovering and evaluating various MCP implementations, enabling AI models to securely interact with local and remote resources.

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 YuzeHao2023/Awesome-MCP-Servers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Function Calling
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Function Calling · recommended 1×
  2. Google Gemini Function Calling · recommended 1×
  3. LangChain · recommended 1×
  4. LlamaIndex · recommended 1×
  5. Docker · recommended 1×
  • CATEGORY QUERY
    How can I enable AI models to securely interact with local and remote resources?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Function Calling
    2. Google Gemini Function Calling
    3. LangChain
    4. LlamaIndex
    5. Docker
    6. Kubernetes
    7. Kong Gateway
    8. Apigee
    9. AWS API Gateway
    10. Vault
    11. AWS Secrets Manager
    12. Azure Key Vault
    13. Istio
    14. Linkerd

    AI recommended 14 alternatives but never named YuzeHao2023/Awesome-MCP-Servers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find server implementations to extend AI model capabilities with external data access?
    you: not recommended
    AI recommended (in order):
    1. FastAPI
    2. Flask
    3. Node.js
    4. Express.js
    5. Django REST Framework
    6. Django
    7. Go
    8. Gin
    9. Echo
    10. Spring Boot

    AI recommended 10 alternatives but never named YuzeHao2023/Awesome-MCP-Servers. 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 YuzeHao2023/Awesome-MCP-Servers?
    pass
    AI did not name YuzeHao2023/Awesome-MCP-Servers — 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 YuzeHao2023/Awesome-MCP-Servers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named YuzeHao2023/Awesome-MCP-Servers 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 YuzeHao2023/Awesome-MCP-Servers solve, and who is the primary audience?
    pass
    AI did not name YuzeHao2023/Awesome-MCP-Servers — 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

Drop this badge into the README of YuzeHao2023/Awesome-MCP-Servers. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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YuzeHao2023/Awesome-MCP-Servers — RepoGEO report