RRepoGEO

REPOGEO REPORT · LITE

googleapis/gcloud-mcp

Default branch main · commit 7a076674 · scanned 6/2/2026, 4:56:36 PM

GitHub: 814 stars · 74 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 googleapis/gcloud-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's core purpose for AI assistants

    Why:

    CURRENT
    The gcloud Model Context Protocol (MCP) server enables AI assistants to easily interact with the Google Cloud environment using the gcloud CLI.
    COPY-PASTE FIX
    The `gcloud-mcp` server implements the Model Context Protocol (MCP), specifically designed to empower AI assistants to interact with the Google Cloud environment via the `gcloud` CLI. It serves as a natural language interface, translating AI assistant requests into executable `gcloud` commands.
  • hightopics#2
    Add descriptive topics

    Why:

    COPY-PASTE FIX
    ai-assistant, google-cloud, gcloud-cli, natural-language-processing, cloud-management, generative-ai, mcp-server, developer-tools
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/googleapis/gcloud-mcp#readme

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 googleapis/gcloud-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Shell
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Shell · recommended 2×
  2. ChatGPT · recommended 1×
  3. GPT-4 API · recommended 1×
  4. AWS CloudShell · recommended 1×
  5. AWS Lambda · recommended 1×
  • CATEGORY QUERY
    How can I use an AI assistant to manage my cloud resources with natural language commands?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. GPT-4 API
    3. AWS CloudShell
    4. AWS Lambda
    5. Amazon Bedrock
    6. OpenAI's API
    7. Azure CLI
    8. Azure OpenAI Service
    9. Azure Functions
    10. Google Cloud Shell
    11. Vertex AI
    12. Dialogflow
    13. OpsRamp
    14. CloudBolt
    15. Amazon Lex
    16. Amazon S3
    17. Azure Bot Service
    18. Azure Cognitive Services
    19. Cloud Functions

    AI recommended 19 alternatives but never named googleapis/gcloud-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools simplify cloud command-line operations for users unfamiliar with complex syntax?
    you: not recommended
    AI recommended (in order):
    1. AWS Copilot CLI (aws/copilot-cli)
    2. Azure Developer CLI (azd) (Azure/azure-dev)
    3. Google Cloud Shell
    4. Terraform Cloud / Terraform Enterprise
    5. Serverless Framework (serverless/serverless)
    6. Pulumi (pulumi/pulumi)

    AI recommended 6 alternatives but never named googleapis/gcloud-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 googleapis/gcloud-mcp?
    pass
    AI did not name googleapis/gcloud-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 googleapis/gcloud-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named googleapis/gcloud-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 googleapis/gcloud-mcp solve, and who is the primary audience?
    pass
    AI named googleapis/gcloud-mcp 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 googleapis/gcloud-mcp. 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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HTML
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googleapis/gcloud-mcp — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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