RRepoGEO

REPOGEO REPORT · LITE

huggingface/mcp-course

Default branch main · commit e706ccc0 · scanned 5/31/2026, 12:03:02 PM

GitHub: 901 stars · 251 forks

AI VISIBILITY SCORE
30 /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
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 huggingface/mcp-course, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A free course on the Model Context Protocol (MCP), teaching how to connect AI models with external data, tools, and services for robust AI applications.
  • highreadme#2
    Reposition the README opening to highlight MCP's core problem

    Why:

    CURRENT
    # The Model Context Protocol (MCP) Course

<div align="center"> <a href="README.md">🇺🇸 English</a> | <a href="README_vi.md">🇻🇳 Tiếng Việt</a> </div>

If you like the course, **don't hesitate to ⭐ star this repository**. This helps us to **make the course more visible 🤗**.
    COPY-PASTE FIX
    # The Model Context Protocol (MCP) Course

Learn to effectively connect AI models with external data sources, tools, and services using the Model Context Protocol (MCP) to build robust and scalable AI applications.

<div align="center"> <a href="README.md">🇺🇸 English</a> | <a href="README_vi.md">🇻🇳 Tiếng Việt</a> </div>

If you like the course, **don't hesitate to ⭐ star this repository**. This helps us to **make the course more visible 🤗**.

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 huggingface/mcp-course
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
apache/airflow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. apache/airflow · recommended 1×
  2. Zapier · recommended 1×
  3. Make · recommended 1×
  4. AWS Step Functions · recommended 1×
  5. Azure Logic Apps · recommended 1×
  • CATEGORY QUERY
    How to integrate AI models with external data sources and tools effectively?
    you: not recommended
    AI recommended (in order):
    1. Apache Airflow (apache/airflow)
    2. Zapier
    3. Make
    4. AWS Step Functions
    5. Azure Logic Apps
    6. Google Cloud Workflows
    7. Apache Kafka (apache/kafka)
    8. Postman
    9. LangChain (langchain-ai/langchain)

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

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a course on connecting AI models to external services?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. ChatGPT API
    3. Google Cloud
    4. Microsoft Azure
    5. Azure OpenAI Service

    AI recommended 5 alternatives but never named huggingface/mcp-course. 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 huggingface/mcp-course?
    pass
    AI named huggingface/mcp-course explicitly

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

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

    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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huggingface/mcp-course — 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