RRepoGEO

REPOGEO REPORT · LITE

varunneal/spotify-mcp

Default branch main · commit a854b00b · scanned 6/3/2026, 8:53:14 PM

GitHub: 602 stars · 131 forks

AI VISIBILITY SCORE
28 /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
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 varunneal/spotify-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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 to clarify LLM integration

    Why:

    CURRENT
    # spotify-mcp MCP server

MCP project to connect Claude with Spotify.
    COPY-PASTE FIX
    # spotify-mcp: LLM Integration with Spotify (MCP Server)

This project provides an MCP server to connect your Large Language Model (LLM), such as Claude, with Spotify's API.
  • hightopics#2
    Add relevant topics for LLM and Spotify integration

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    llm, spotify, mcp, claude, api-integration, music-control, python
  • mediumabout#3
    Update repository description with project status

    Why:

    CURRENT
    MCP to connect your LLM with Spotify.
    COPY-PASTE FIX
    MCP to connect your LLM with Spotify. (INACTIVE PROJECT - Most PRs will not be merged.)

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 varunneal/spotify-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Flask
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Flask · recommended 2×
  2. LangChain · recommended 1×
  3. LlamaIndex · recommended 1×
  4. OpenAI Functions · recommended 1×
  5. Google Gemini Function Calling · recommended 1×
  • CATEGORY QUERY
    Tool to integrate large language models with a music streaming service API.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Functions
    4. Google Gemini Function Calling
    5. Hugging Face Transformers
    6. FastAPI
    7. Flask
    8. Microsoft Semantic Kernel

    AI recommended 8 alternatives but never named varunneal/spotify-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build an AI-powered music controller for playback and playlist management?
    you: not recommended
    AI recommended (in order):
    1. Spotify API
    2. Librosa
    3. scikit-learn
    4. TensorFlow
    5. PyTorch
    6. OpenAI API
    7. Flask
    8. Django
    9. React
    10. Vue.js
    11. PostgreSQL
    12. MongoDB

    AI recommended 12 alternatives but never named varunneal/spotify-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 varunneal/spotify-mcp?
    pass
    AI did not name varunneal/spotify-mcp — 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 varunneal/spotify-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named varunneal/spotify-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 varunneal/spotify-mcp solve, and who is the primary audience?
    pass
    AI named varunneal/spotify-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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varunneal/spotify-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