RRepoGEO

REPOGEO REPORT · LITE

ArcadeAI/arcade-mcp

Default branch main · commit 7cb696cb · scanned 5/30/2026, 6:31:50 AM

GitHub: 907 stars · 94 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 ArcadeAI/arcade-mcp, 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 specify AI agent tool development

    Why:

    CURRENT
    # Arcade MCP

**Open-source Python framework for building MCP servers and tools.**
    COPY-PASTE FIX
    # Arcade MCP

**Open-source Python framework for building secure, custom tools for AI agents and large language models using the Model Context Protocol (MCP).**
  • mediumabout#2
    Refine the 'About' description for clarity on AI agent tools

    Why:

    CURRENT
    MCP Server Framework and Tool Development library for building custom capabilities into agents.
    COPY-PASTE FIX
    Python framework for building secure, custom tools for AI agents and large language models using the Model Context Protocol (MCP).
  • mediumtopics#3
    Add more explicit topics for LLM and AI agent tools

    Why:

    CURRENT
    ai, arcade, arcade-ai, claude, claude-code, claude-mcp, mcp, mcp-framework, mcp-gateway, mcp-runtime, mcp-server, mcp-servers, mcp-tools, mcpserver, model-context-protocol, model-context-protocol-sdk, python
    COPY-PASTE FIX
    ai, arcade, arcade-ai, claude, claude-code, claude-mcp, mcp, mcp-framework, mcp-gateway, mcp-runtime, mcp-server, mcp-servers, mcp-tools, mcpserver, model-context-protocol, model-context-protocol-sdk, python, llm-tools, ai-agent-tools, tool-calling

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 ArcadeAI/arcade-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ray-project/ray
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ray-project/ray · recommended 2×
  2. tiangolo/fastapi · recommended 1×
  3. pallets/flask · recommended 1×
  4. python-restx/flask-restx · recommended 1×
  5. spec-first/connexion · recommended 1×
  • CATEGORY QUERY
    How can I build custom server-side tools for AI agents in Python?
    you: not recommended
    AI recommended (in order):
    1. FastAPI (tiangolo/fastapi)
    2. Flask (pallets/flask)
    3. flask-restx (python-restx/flask-restx)
    4. connexion (spec-first/connexion)
    5. Django REST Framework (encode/django-rest-framework)
    6. Django (django/django)
    7. Gradio (gradio-app/gradio)
    8. Ray Serve (ray-project/ray)
    9. Ray (ray-project/ray)
    10. Sanic (sanic-org/sanic)

    AI recommended 10 alternatives but never named ArcadeAI/arcade-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python frameworks exist for securely integrating custom APIs as tools for large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Python Library
    4. FastAPI
    5. Pydantic
    6. Guardrails AI

    AI recommended 6 alternatives but never named ArcadeAI/arcade-mcp. 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 ArcadeAI/arcade-mcp?
    pass
    AI named ArcadeAI/arcade-mcp explicitly

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

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

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

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