RRepoGEO

REPOGEO REPORT · LITE

metatool-ai/metamcp

Default branch main · commit 250240be · scanned 5/19/2026, 5:32:13 PM

GitHub: 2,335 stars · 340 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 README H1 and opening sentence to emphasize AI/LLM context

    Why:

    CURRENT
    # 🚀 MetaMCP (MCP Aggregator, Orchestrator, Middleware, Gateway in one docker)
    
    MetaMCP is a MCP proxy that lets you dynamically aggregate MCP servers into a unified MCP server, and apply middlewares.
    COPY-PASTE FIX
    # 🚀 MetaMCP: AI Model Context Protocol (MCP) Orchestrator & Gateway in one docker
    
    MetaMCP is an **AI Model Context Protocol (MCP)** proxy that lets you dynamically aggregate MCP servers into a unified MCP server, and apply middlewares for **LLM-based agents and services**.
  • mediumtopics#2
    Add broader AI/LLM orchestration topics

    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-orchestration, llm-agents, ai-gateway, model-orchestration, context-management
  • lowabout#3
    Update repository description to explicitly include AI/LLM context

    Why:

    CURRENT
    MCP Aggregator, Orchestrator, Middleware, Gateway in one docker
    COPY-PASTE FIX
    AI Model Context Protocol (MCP) Aggregator, Orchestrator, Middleware, and Gateway for LLM-based agents, all in one docker.

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
Envoy Proxy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Envoy Proxy · recommended 1×
  2. NGINX Plus · recommended 1×
  3. NGINX Open Source · recommended 1×
  4. HAProxy · recommended 1×
  5. Kong Gateway · recommended 1×
  • CATEGORY QUERY
    How can I aggregate multiple Model Context Protocol servers into a unified gateway?
    you: not recommended
    AI recommended (in order):
    1. Envoy Proxy
    2. NGINX Plus
    3. NGINX Open Source
    4. HAProxy
    5. Kong Gateway
    6. Apache APISIX
    7. AWS API Gateway
    8. Azure API Management
    9. Google Cloud Endpoints

    AI recommended 9 alternatives but never named metatool-ai/metamcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a self-hosted solution to orchestrate and apply middleware to AI model context services.
    you: not recommended
    AI recommended (in order):
    1. Kubernetes
    2. Istio
    3. Linkerd
    4. OpenShift
    5. Nomad
    6. Consul
    7. Envoy
    8. Traefik
    9. Docker Swarm
    10. Nginx Proxy Manager
    11. Apache Mesos
    12. Marathon
    13. Aurora
    14. Nginx

    AI recommended 14 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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