RRepoGEO

REPOGEO REPORT · LITE

QuixiAI/dolphin-mcp

Default branch main · commit 7413ed47 · scanned 6/14/2026, 5:53:05 PM

GitHub: 534 stars · 58 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 QuixiAI/dolphin-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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise About description for the repository

    Why:

    COPY-PASTE FIX
    A flexible Python library and CLI tool for interacting with Model Context Protocol (MCP) servers using any LLM model, enabling multi-model integration with external tools and data sources via function calling.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the text of your chosen open-source license (e.g., MIT, Apache-2.0). Additionally, add a 'License' section to your README with a line like: 'This project is licensed under the [Your Chosen License Name] - see the LICENSE file for details.'

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 QuixiAI/dolphin-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. deepset/Haystack · recommended 1×
  4. OpenAI Python Library · recommended 1×
  5. Instructor · recommended 1×
  • CATEGORY QUERY
    Python library for connecting large language models to external tools and data sources?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset/Haystack)
    4. OpenAI Python Library
    5. Instructor

    AI recommended 5 alternatives but never named QuixiAI/dolphin-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    CLI tool to integrate multiple AI models with external data servers using function calling?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. OpenAI Python Library (openai/openai-python)
    4. Click (pallets/click)
    5. Typer (tiangolo/typer)
    6. Google Cloud Vertex AI SDK (googleapis/python-aiplatform)
    7. Hugging Face `transformers` library (huggingface/transformers)
    8. commander.js (tj/commander.js)
    9. oclif (oclif/oclif)
    10. @openai/openai (openai/openai-node)
    11. @google-cloud/vertexai (googleapis/nodejs-vertexai)

    AI recommended 11 alternatives but never named QuixiAI/dolphin-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
    fail

    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 QuixiAI/dolphin-mcp?
    pass
    AI named QuixiAI/dolphin-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 QuixiAI/dolphin-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named QuixiAI/dolphin-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 QuixiAI/dolphin-mcp solve, and who is the primary audience?
    pass
    AI named QuixiAI/dolphin-mcp explicitly

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

Embed your GEO score

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MARKDOWN (README)
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QuixiAI/dolphin-mcp — 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