RRepoGEO

REPOGEO REPORT · LITE

nicobailon/pi-mcp-adapter

Default branch main · commit 07565c68 · scanned 6/11/2026, 3:52:15 PM

GitHub: 849 stars · 154 forks

AI VISIBILITY SCORE
22 /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
1 / 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 nicobailon/pi-mcp-adapter, 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 and opening paragraph to clarify 'MCP' and project domain

    Why:

    CURRENT
    # Pi MCP Adapter

Use MCP servers with Pi without burning your context window.
    COPY-PASTE FIX
    # Pi MCP Adapter: Token-Efficient Model Context Protocol (MCP) for Pi Coding Agents

This adapter allows Pi coding agents to use Model Context Protocol (MCP) servers without burning your context window.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/nicobailon/pi-mcp-adapter
  • lowreadme#3
    Add a brief 'What is MCP?' section to the README

    Why:

    COPY-PASTE FIX
    ## What is Model Context Protocol (MCP)?

Model Context Protocol (MCP) is a standard for defining and interacting with external tools and services for large language model (LLM) agents. It allows agents to discover and utilize capabilities like databases, browsers, and APIs in a structured way.

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 nicobailon/pi-mcp-adapter
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Function Calling
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Function Calling · recommended 1×
  2. Anthropic Tools · recommended 1×
  3. LangChain · recommended 1×
  4. LlamaIndex · recommended 1×
  5. Semantic Kernel · recommended 1×
  • CATEGORY QUERY
    How to reduce token usage for tool definitions in large language model agents?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    Efficiently integrate many external tools with a coding agent without context window overload?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Function Calling
    2. Anthropic Tools
    3. LangChain
    4. LlamaIndex
    5. Semantic Kernel

    AI recommended 5 alternatives but never named nicobailon/pi-mcp-adapter. 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 nicobailon/pi-mcp-adapter?
    pass
    AI did not name nicobailon/pi-mcp-adapter — 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 nicobailon/pi-mcp-adapter in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nicobailon/pi-mcp-adapter 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 nicobailon/pi-mcp-adapter solve, and who is the primary audience?
    pass
    AI did not name nicobailon/pi-mcp-adapter — 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?

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MARKDOWN (README)
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nicobailon/pi-mcp-adapter — 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