RRepoGEO

REPOGEO REPORT · LITE

Azure/azure-mcp

Default branch main · commit 54f04ab1 · scanned 5/12/2026, 12:11:44 PM

GitHub: 1,213 stars · 355 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 Azure/azure-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
  • highabout#1
    Clarify repository purpose in 'about' description

    Why:

    CURRENT
    The Azure MCP Server, bringing the power of Azure to your agents.
    COPY-PASTE FIX
    Resources and guidance for Microsoft Cloud Partners (MCP) to build and deploy solutions on Azure.
  • hightopics#2
    Add relevant topics for categorization

    Why:

    COPY-PASTE FIX
    azure, microsoft-cloud-for-partners, partner-enablement, iaac, documentation, resources
  • mediumreadme#3
    Briefly state historical purpose in README before redirect

    Why:

    CURRENT
    This repository is archived as of August 25, 2025. Going forward, the Azure MCP team is using https://github.com/microsoft/mcp to develop the code and issues formerly in this repository. Please see the following for more context: https://github.com/microsoft/mcp/blob/main/servers/Azure.Mcp.Server/README.md
    COPY-PASTE FIX
    This repository, formerly a hub for Microsoft Cloud Partners (MCP) resources and guidance, is archived as of August 25, 2025. Going forward, the Azure MCP team is using https://github.com/microsoft/mcp to develop the code and issues formerly in this repository. Please see the following for more context: https://github.com/microsoft/mcp/blob/main/servers/Azure.Mcp.Server/README.md

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 Azure/azure-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AWS IoT Greengrass
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AWS IoT Greengrass · recommended 1×
  2. Azure IoT Edge · recommended 1×
  3. Google Cloud IoT Edge · recommended 1×
  4. Anthos for Edge · recommended 1×
  5. Kubernetes · recommended 1×
  • CATEGORY QUERY
    How can I extend cloud services to distributed agent deployments?
    you: not recommended
    AI recommended (in order):
    1. AWS IoT Greengrass
    2. Azure IoT Edge
    3. Google Cloud IoT Edge
    4. Anthos for Edge
    5. Kubernetes
    6. K3s
    7. MicroK8s
    8. HashiCorp Nomad
    9. Consul
    10. Vault
    11. Eclipse IoT
    12. Eclipse Ditto
    13. Eclipse Hono
    14. Mosquitto
    15. EMQX

    AI recommended 15 alternatives but never named Azure/azure-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What server-side component enables agent applications to leverage cloud resources?
    you: not recommended
    AI recommended (in order):
    1. Azure OpenAI Service
    2. AWS Lambda
    3. Google Cloud Functions
    4. Kubernetes (kubernetes/kubernetes)
    5. LangChain (langchain-ai/langchain)
    6. OpenAI API
    7. Hugging Face Inference Endpoints

    AI recommended 7 alternatives but never named Azure/azure-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 Azure/azure-mcp?
    pass
    AI named Azure/azure-mcp explicitly

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

  • If a team adopts Azure/azure-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Azure/azure-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 Azure/azure-mcp solve, and who is the primary audience?
    pass
    AI did not name Azure/azure-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?

Embed your GEO score

Drop this badge into the README of Azure/azure-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
<a href="https://repogeo.com/en/r/Azure/azure-mcp"><img src="https://repogeo.com/badge/Azure/azure-mcp.svg" alt="RepoGEO" /></a>
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