RRepoGEO

REPOGEO REPORT · LITE

utensils/mcp-nixos

Default branch main · commit 0ef99b6a · scanned 6/16/2026, 1:47:06 PM

GitHub: 676 stars · 37 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 utensils/mcp-nixos, 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
    Insert an introductory paragraph after the README's H1

    Why:

    COPY-PASTE FIX
    MCP-NixOS is a Model Context Protocol (MCP) server that provides AI assistants with accurate, real-time information about the NixOS ecosystem. It enables your AI to understand NixOS packages, options, and configurations, preventing hallucinations and improving the quality of AI-generated NixOS code and recommendations.
  • mediumreadme#2
    Explicitly list the types of NixOS data provided to AI in the README

    Why:

    CURRENT
    Your AI now has access to real NixOS data instead of making things up.
    COPY-PASTE FIX
    Your AI now has access to real NixOS data, including package names, options, modules, and configurations, instead of making things up.
  • mediumreadme#3
    Add a dedicated 'Why MCP-NixOS?' section to the README

    Why:

    COPY-PASTE FIX
    ## Why MCP-NixOS?
    AI assistants often struggle with the specifics of niche ecosystems like NixOS, leading to incorrect package names, outdated options, or non-existent configurations. MCP-NixOS solves this by acting as a bridge, allowing your AI to query a live, up-to-date source of NixOS information. This ensures your AI's responses are accurate, reliable, and directly applicable to your NixOS environment.

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 utensils/mcp-nixos
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 2 · recommended 1×
  2. Mistral 7B · recommended 1×
  3. Mixtral 8x7B · recommended 1×
  4. GPT-3.5 Turbo · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How to integrate AI assistant with NixOS for accurate package information?
    you: not recommended
    AI recommended (in order):
    1. Llama 2
    2. Mistral 7B
    3. Mixtral 8x7B
    4. GPT-3.5 Turbo
    5. OpenAI API
    6. Hugging Face Transformers
    7. LlamaIndex
    8. LangChain
    9. Qdrant
    10. Weaviate
    11. OpenAI GPT-4
    12. Cohere Command
    13. OpenAI's `text-embedding-ada-002`
    14. Sentence Transformers
    15. Python `nix` library
    16. Anthropic Claude 3
    17. Jinja2
    18. Handlebars

    AI recommended 18 alternatives but never named utensils/mcp-nixos. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to prevent AI hallucinating package names when querying system configurations?
    you: not recommended
    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 utensils/mcp-nixos?
    pass
    AI named utensils/mcp-nixos explicitly

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

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

    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 utensils/mcp-nixos. 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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utensils/mcp-nixos — 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