RRepoGEO

REPOGEO REPORT · LITE

docker/mcp-registry

Default branch main · commit c2222177 · scanned 6/12/2026, 11:33:01 AM

GitHub: 503 stars · 865 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 docker/mcp-registry, 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
  • highreadme#1
    Reposition README opening to clarify its role as an AI assistant registry

    Why:

    CURRENT
    Welcome to the Official Docker MCP (Model Context Protocol) Registry! This repository serves as a curated catalog of MCP servers that can be easily discovered, deployed, and integrated with any MCP Client and compatible with Docker tooling.
    COPY-PASTE FIX
    Welcome to the Official Docker MCP (Model Context Protocol) Registry! This repository is *not* a general Docker image registry; instead, it serves as a curated catalog of secure MCP servers specifically designed to enable AI assistants to securely connect with external data sources and tools. These servers can be easily discovered, deployed, and integrated with any MCP Client and are compatible with Docker tooling.
  • mediumhomepage#2
    Add a homepage URL to the official MCP documentation

    Why:

    COPY-PASTE FIX
    the official MCP documentation URL

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 docker/mcp-registry
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Azure OpenAI Service
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure OpenAI Service · recommended 1×
  2. Google Cloud Vertex AI · recommended 1×
  3. AWS Bedrock · recommended 1×
  4. Azure Active Directory · recommended 1×
  5. Microsoft Entra ID · recommended 1×
  • CATEGORY QUERY
    How to securely integrate AI assistants with external data sources and tools?
    you: not recommended
    AI recommended (in order):
    1. Azure OpenAI Service
    2. Google Cloud Vertex AI
    3. AWS Bedrock
    4. Azure Active Directory
    5. Microsoft Entra ID
    6. Azure Key Vault
    7. Azure Private Link
    8. Azure Policy
    9. Azure SQL Database
    10. Azure Cosmos DB
    11. Azure Data Lake Storage
    12. Azure Logic Apps
    13. Azure Data Factory
    14. Google Cloud IAM
    15. Secret Manager
    16. VPC Service Controls
    17. Data Loss Prevention (DLP)
    18. BigQuery
    19. Cloud Storage
    20. AWS IAM
    21. AWS Secrets Manager
    22. AWS PrivateLink
    23. AWS KMS
    24. Amazon S3
    25. Amazon DynamoDB
    26. Amazon RDS
    27. LangChain (langchain-ai/langchain)
    28. LlamaIndex (run-llama/llama_index)
    29. Auth0
    30. Okta
    31. HashiCorp Vault (hashicorp/vault)
    32. Kong Gateway (Kong/kong)
    33. Apigee API Management

    AI recommended 33 alternatives but never named docker/mcp-registry. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a curated catalog of secure AI assistant backend services?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud AI Platform / Vertex AI
    2. Microsoft Azure AI Platform
    3. AWS AI/ML Services
    4. OpenAI API
    5. Hugging Face
    6. IBM Watson Assistant

    AI recommended 6 alternatives but never named docker/mcp-registry. 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 docker/mcp-registry?
    pass
    AI did not name docker/mcp-registry — 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 docker/mcp-registry in production, what risks or prerequisites should they evaluate first?
    pass
    AI named docker/mcp-registry 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 docker/mcp-registry solve, and who is the primary audience?
    pass
    AI named docker/mcp-registry explicitly

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

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