RRepoGEO

REPOGEO REPORT · LITE

jaw9c/awesome-remote-mcp-servers

Default branch main · commit 85b8922a · scanned 5/8/2026, 11:42:53 PM

GitHub: 1,056 stars · 298 forks

AI VISIBILITY SCORE
15 /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
0 / 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 jaw9c/awesome-remote-mcp-servers, 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 H1 and opening sentence to clarify "MCP" for AI

    Why:

    CURRENT
    # Awesome Remote MCP Servers

A curated, opinionated list of high-quality **remote** Model Context Protocol (MCP) servers.
    COPY-PASTE FIX
    # Awesome Remote Model Context Protocol (MCP) Servers for AI Applications

A curated, opinionated list of high-quality **remote** Model Context Protocol (MCP) servers for AI applications.
  • hightopics#2
    Add relevant topics for AI and protocols

    Why:

    COPY-PASTE FIX
    ai, model-context-protocol, mcp, ai-agents, external-tools, protocol, api, remote-services, generative-ai
  • mediumabout#3
    Update the repository description to be more specific

    Why:

    CURRENT
    Remote MCP Servers
    COPY-PASTE FIX
    A curated list of high-quality remote Model Context Protocol (MCP) servers for AI applications and agent tool integration.

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 jaw9c/awesome-remote-mcp-servers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. Google Cloud AI Platform (Vertex AI) · recommended 1×
  3. Amazon SageMaker · recommended 1×
  4. Azure Machine Learning · recommended 1×
  5. Hugging Face Inference API/Spaces · recommended 1×
  • CATEGORY QUERY
    Where can I find production-ready remote services for AI model tool integration?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud AI Platform (Vertex AI)
    2. Amazon SageMaker
    3. Azure Machine Learning
    4. Hugging Face Inference API/Spaces
    5. OpenAI API
    6. MLflow
    7. Kubernetes
    8. Kubeflow
    9. Cortex.dev

    AI recommended 9 alternatives but never named jaw9c/awesome-remote-mcp-servers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Discover reliable internet-accessible platforms for connecting AI agents to external resources securely.
    you: not recommended
    AI recommended (in order):
    1. AWS Lambda
    2. Google Cloud Functions
    3. Azure Functions
    4. OpenAI API
    5. Ngrok
    6. Cloudflare Workers
    7. Auth0
    8. Okta

    AI recommended 8 alternatives but never named jaw9c/awesome-remote-mcp-servers. 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 jaw9c/awesome-remote-mcp-servers?
    pass
    AI did not name jaw9c/awesome-remote-mcp-servers — 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 jaw9c/awesome-remote-mcp-servers in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name jaw9c/awesome-remote-mcp-servers — 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?

  • In one sentence, what problem does the repo jaw9c/awesome-remote-mcp-servers solve, and who is the primary audience?
    pass
    AI did not name jaw9c/awesome-remote-mcp-servers — 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

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  • Brand-free category queries5 vs 2 in Lite
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