RRepoGEO

REPOGEO REPORT · LITE

modelcontextprotocol/quickstart-resources

Default branch main · commit 2497b1d5 · scanned 6/30/2026, 10:17:52 AM

GitHub: 1,132 stars · 642 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
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 modelcontextprotocol/quickstart-resources, 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
  • hightopics#1
    Add specific topics for Model Context Protocol resources

    Why:

    COPY-PASTE FIX
    model-context-protocol, mcp, ai-protocol, llm-integration, server-examples, client-examples, quickstart
  • highhomepage#2
    Add the official Model Context Protocol homepage URL

    Why:

    COPY-PASTE FIX
    [URL of the official Model Context Protocol website or documentation]
  • mediumreadme#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Add a section like: `## License
This repository contains resources released under [specify license(s) here, e.g., "the Model Context Protocol License" or "a custom license as detailed in the LICENSE file"]. Please refer to the [LICENSE](./LICENSE) file for full details.`

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 modelcontextprotocol/quickstart-resources
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
FastAPI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. FastAPI · recommended 1×
  2. Flask · recommended 1×
  3. Node.js · recommended 1×
  4. Express.js · recommended 1×
  5. Go · recommended 1×
  • CATEGORY QUERY
    How to build a custom server for an AI model context protocol?
    you: not recommended
    AI recommended (in order):
    1. FastAPI
    2. Flask
    3. Node.js
    4. Express.js
    5. Go
    6. Gin
    7. Echo
    8. Spring Boot
    9. Rust
    10. Actix-web
    11. Axum

    AI recommended 11 alternatives but never named modelcontextprotocol/quickstart-resources. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for examples to integrate LLMs with custom protocol clients.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Python Library
    4. Hugging Face `transformers` Library
    5. LiteLLM
    6. Guidance
    7. `requests`
    8. `httpx`

    AI recommended 8 alternatives but never named modelcontextprotocol/quickstart-resources. 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 modelcontextprotocol/quickstart-resources?
    pass
    AI named modelcontextprotocol/quickstart-resources explicitly

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

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

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

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modelcontextprotocol/quickstart-resources — 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