RRepoGEO

REPOGEO REPORT · LITE

Azure/azure-mcp

Default branch main · commit 54f04ab1 · scanned 6/22/2026, 6:22:02 PM

GitHub: 1,219 stars · 356 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 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

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

OVERALL DIRECTION
  • highabout#1
    Update repository description to reflect archived status and redirection

    Why:

    CURRENT
    The Azure MCP Server, bringing the power of Azure to your agents.
    COPY-PASTE FIX
    ARCHIVED: This repository is no longer maintained. Development has moved to microsoft/mcp. Please see the README for details.
  • mediumreadme#2
    Emphasize archived status in README's first line with a prominent heading

    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.
    COPY-PASTE FIX
    ## ARCHIVED: This repository is no longer maintained as of August 25, 2025. All future development and issues have moved to https://github.com/microsoft/mcp.

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 Lambda
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AWS Lambda · recommended 2×
  2. Google Cloud Functions · recommended 2×
  3. Azure Functions · recommended 2×
  4. S3 · recommended 1×
  5. DynamoDB · recommended 1×
  • CATEGORY QUERY
    How can I extend my existing agent applications with powerful cloud computing capabilities?
    you: not recommended
    AI recommended (in order):
    1. AWS Lambda
    2. S3
    3. DynamoDB
    4. SQS
    5. Google Cloud Functions
    6. Cloud Storage
    7. Pub/Sub
    8. Firestore
    9. Vertex AI
    10. Azure Functions
    11. Blob Storage
    12. Service Bus
    13. Cosmos DB
    14. Kubernetes
    15. Google Kubernetes Engine (GKE)
    16. Amazon Elastic Kubernetes Service (EKS)
    17. Azure Kubernetes Service (AKS)
    18. Apache Kafka
    19. Confluent Cloud
    20. Amazon MSK
    21. Azure Event Hubs
    22. Redis
    23. Amazon ElastiCache for Redis
    24. Azure Cache for Redis
    25. Google Cloud Memorystore for Redis

    AI recommended 25 alternatives but never named Azure/azure-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What server solutions exist for connecting intelligent agents to a major cloud platform?
    you: not recommended
    AI recommended (in order):
    1. AWS Lambda
    2. Azure Functions
    3. Google Cloud Functions
    4. AWS Fargate
    5. Azure Container Instances
    6. Google Cloud Run
    7. AWS EC2
    8. Azure Virtual Machines
    9. Google Compute Engine
    10. AWS ECS
    11. Azure Kubernetes Service
    12. Google Kubernetes Engine
    13. AWS App Runner
    14. Azure Container Apps

    AI recommended 14 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 named Azure/azure-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

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