RRepoGEO

REPOGEO REPORT · LITE

metatool-ai/metamcp

Default branch ai-dev · commit ff4ff2de · scanned 7/1/2026, 3:03:38 AM

GitHub: 2,481 stars · 369 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
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 metatool-ai/metamcp, 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 the README H1 to explicitly state 'AI Model Context Protocol'

    Why:

    CURRENT
    # 🚀 MetaMCP (MCP Aggregator, Orchestrator, Middleware, Gateway in one docker)
    COPY-PASTE FIX
    # 🚀 MetaMCP (AI Model Context Protocol Aggregator, Orchestrator, Middleware, Gateway in one docker)
  • hightopics#2
    Add broader AI-related topics to improve category visibility

    Why:

    CURRENT
    mcp, mcp-gateway, mcp-host, mcp-middleware, mcp-server, mcp-servers, mcp-to-openapi, mcp-tools, model-context-protocol, model-context-protocol-server, model-context-protocol-servers, open-webui, openapi, self-hosted, vibe-coding
    COPY-PASTE FIX
    mcp, mcp-gateway, mcp-host, mcp-middleware, mcp-server, mcp-servers, mcp-to-openapi, mcp-tools, model-context-protocol, model-context-protocol-server, model-context-protocol-servers, open-webui, openapi, self-hosted, vibe-coding, ai-gateway, llm-orchestration, ai-middleware, model-serving, ai-api-gateway, large-language-models
  • mediumreadme#3
    Clarify the introductory paragraph to explicitly mention AI models

    Why:

    CURRENT
    **MetaMCP** is a MCP proxy that lets you dynamically aggregate MCP servers into a unified MCP server, and apply middlewares. MetaMCP itself is a MCP server so it can be easily plugged into **ANY** MCP clients.
    COPY-PASTE FIX
    **MetaMCP** is an **AI Model Context Protocol (MCP)** proxy that lets you dynamically aggregate multiple **AI model servers** into a unified MCP server, and apply middlewares. MetaMCP itself is an MCP server, making it easily pluggable into **any AI Model Context Protocol clients**.

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 metatool-ai/metamcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
kubernetes/kubernetes
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. kubernetes/kubernetes · recommended 1×
  2. istio/istio · recommended 1×
  3. envoyproxy/envoy · recommended 1×
  4. openresty/openresty · recommended 1×
  5. Kong/kong · recommended 1×
  • CATEGORY QUERY
    How to aggregate and orchestrate multiple AI models with a self-hosted gateway?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes (kubernetes/kubernetes)
    2. Istio (istio/istio)
    3. Envoy Proxy (envoyproxy/envoy)
    4. OpenResty (openresty/openresty)
    5. Kong Gateway (Kong/kong)
    6. Tyk API Gateway (TykTechnologies/tyk)
    7. Apache APISIX (apache/apisix)
    8. Caddy (caddyserver/caddy)

    AI recommended 8 alternatives but never named metatool-ai/metamcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a dockerized middleware to manage AI model context and expose via OpenAPI.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. FastAPI
    3. LlamaIndex
    4. Haystack
    5. OpenAI Functions/Tools
    6. Flask
    7. transformers
    8. sentence-transformers
    9. Cortex

    AI recommended 9 alternatives but never named metatool-ai/metamcp. 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 metatool-ai/metamcp?
    pass
    AI named metatool-ai/metamcp explicitly

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

  • If a team adopts metatool-ai/metamcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named metatool-ai/metamcp 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 metatool-ai/metamcp solve, and who is the primary audience?
    pass
    AI named metatool-ai/metamcp explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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metatool-ai/metamcp — RepoGEO report