RRepoGEO

REPOGEO REPORT · LITE

samanhappy/mcphub

Default branch main · commit c44a32ba · scanned 5/10/2026, 8:01:40 AM

GitHub: 2,069 stars · 248 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 samanhappy/mcphub, 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 opening to explicitly state its role as an AI API Gateway

    Why:

    CURRENT
    MCPHub makes it easy to manage and scale multiple MCP (Model Context Protocol) servers by organizing them into flexible Streamable HTTP (SSE) endpoints—supporting access to all servers, individual servers, or logical server groups.
    COPY-PASTE FIX
    MCPHub is an advanced API gateway specifically designed to manage and scale multiple AI Model Context Protocol (MCP) servers. It organizes these AI model APIs into flexible Streamable HTTP (SSE) endpoints, supporting access to all servers, individual servers, or logical server groups.
  • hightopics#2
    Expand topics to include AI/LLM specific keywords

    Why:

    CURRENT
    mcp, mcp-gateway, mcp-hub, mcp-router, mcp-server
    COPY-PASTE FIX
    mcp, mcp-gateway, mcp-hub, mcp-router, mcp-server, ai-gateway, llm-gateway, model-serving, api-management-ai, model-context-protocol
  • mediumabout#3
    Refine the repository description to explicitly mention AI model APIs

    Why:

    CURRENT
    A unified hub for centrally managing and dynamically orchestrating multiple MCP servers/APIs into separate endpoints with flexible routing strategies.
    COPY-PASTE FIX
    A unified hub for centrally managing and dynamically orchestrating multiple AI Model Context Protocol (MCP) servers/APIs into separate endpoints with flexible routing strategies, functioning as an AI API gateway.

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 samanhappy/mcphub
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Azure API Management
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure API Management · recommended 2×
  2. AWS API Gateway · recommended 2×
  3. Kong Gateway · recommended 2×
  4. Apigee · recommended 2×
  5. Nginx · recommended 1×
  • CATEGORY QUERY
    How to centrally manage and route requests across multiple AI model APIs?
    you: not recommended
    AI recommended (in order):
    1. Azure API Management
    2. AWS API Gateway
    3. Kong Gateway
    4. Apigee
    5. Nginx
    6. Nginx Plus
    7. Triton Inference Server
    8. OpenFaaS
    9. Kubeless

    AI recommended 9 alternatives but never named samanhappy/mcphub. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to build a unified API gateway for diverse AI model context protocol servers?
    you: not recommended
    AI recommended (in order):
    1. Kong Gateway
    2. Apigee
    3. AWS API Gateway
    4. Azure API Management
    5. Gloo Edge
    6. Tyk
    7. Envoy Proxy

    AI recommended 7 alternatives but never named samanhappy/mcphub. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 samanhappy/mcphub?
    pass
    AI named samanhappy/mcphub explicitly

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

  • If a team adopts samanhappy/mcphub in production, what risks or prerequisites should they evaluate first?
    pass
    AI named samanhappy/mcphub 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 samanhappy/mcphub solve, and who is the primary audience?
    pass
    AI named samanhappy/mcphub 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 samanhappy/mcphub. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/samanhappy/mcphub.svg)](https://repogeo.com/en/r/samanhappy/mcphub)
HTML
<a href="https://repogeo.com/en/r/samanhappy/mcphub"><img src="https://repogeo.com/badge/samanhappy/mcphub.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

samanhappy/mcphub — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite