RRepoGEO

REPOGEO REPORT · LITE

anaisbetts/mcp-installer

Default branch main · commit 747fbd88 · scanned 5/13/2026, 8:08:14 AM

GitHub: 1,518 stars · 191 forks

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 anaisbetts/mcp-installer, 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 the README H1 to specify 'Model Context Protocol'

    Why:

    CURRENT
    # mcp-installer - A MCP Server to install MCP Servers
    COPY-PASTE FIX
    # mcp-installer - An installer for Model Context Protocol (MCP) servers
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    model-context-protocol, mcp, ai-server, server-installer, claude-integration, npm, pypi
  • mediumabout#3
    Update the repository description for clarity

    Why:

    CURRENT
    An MCP server that installs other MCP servers for you
    COPY-PASTE FIX
    An installer for Model Context Protocol (MCP) servers, enabling Claude to deploy packages from npm or PyPi.

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 anaisbetts/mcp-installer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ollama/ollama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ollama/ollama · recommended 1×
  2. LM Studio · recommended 1×
  3. go-skynet/LocalAI · recommended 1×
  4. vllm-project/vllm · recommended 1×
  5. huggingface/text-generation-inference · recommended 1×
  • CATEGORY QUERY
    Need a system to easily install and manage multiple AI model context servers.
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LM Studio
    3. LocalAI (go-skynet/LocalAI)
    4. vLLM (vllm-project/vllm)
    5. TGI (Text Generation Inference) (huggingface/text-generation-inference)
    6. NVIDIA Triton Inference Server (triton-inference-server/server)

    AI recommended 6 alternatives but never named anaisbetts/mcp-installer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to automate AI server deployment through conversational prompts.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Assistants API
    2. LangChain
    3. AWS Boto3
    4. Google Cloud Client Libraries
    5. Azure SDK for Python
    6. Hugging Face Transformers Agents
    7. Google Cloud Speech-to-Text
    8. AWS Transcribe
    9. OpenAI Whisper
    10. Terraform
    11. Pulumi
    12. Voiceflow
    13. Dialogflow ES
    14. Dialogflow CX
    15. AWS Lambda
    16. Google Cloud Functions
    17. Azure Functions

    AI recommended 17 alternatives but never named anaisbetts/mcp-installer. 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 anaisbetts/mcp-installer?
    pass
    AI named anaisbetts/mcp-installer explicitly

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

  • If a team adopts anaisbetts/mcp-installer in production, what risks or prerequisites should they evaluate first?
    pass
    AI named anaisbetts/mcp-installer 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 anaisbetts/mcp-installer solve, and who is the primary audience?
    pass
    AI named anaisbetts/mcp-installer 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 anaisbetts/mcp-installer. 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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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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