RRepoGEO

REPOGEO REPORT · LITE

mark3labs/mcphost

Default branch main · commit 632cc196 · scanned 6/23/2026, 5:51:49 PM

GitHub: 1,599 stars · 232 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
35 /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
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 mark3labs/mcphost, 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
    Explicitly clarify that MCPHost is not for Minecraft servers

    Why:

    CURRENT
    # MCPHost 🤖
    COPY-PASTE FIX
    # MCPHost 🤖 (NOT for Minecraft servers)
  • hightopics#2
    Add relevant topics for LLM tool interaction

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    llm, large-language-models, cli, tools, model-context-protocol, mcp, claude, openai, gemini, ollama, ai-agents
  • mediumhomepage#3
    Add a homepage link to the successor project, Kit

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    [URL to Kit's official repository or project page]

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 mark3labs/mcphost
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. OpenAI Functions · recommended 1×
  4. Assistants API · recommended 1×
  5. deepset-ai/haystack · recommended 1×
  • CATEGORY QUERY
    How to enable large language models to use external tools via a CLI?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. OpenAI Functions
    4. Assistants API
    5. Haystack (deepset-ai/haystack)
    6. AutoGPT (Significant-Gravitas/AutoGPT)
    7. BabyAGI (yoheinakajima/babyagi)
    8. Semantic Kernel (microsoft/semantic-kernel)
    9. subprocess

    AI recommended 9 alternatives but never named mark3labs/mcphost. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework allows LLMs from different providers to interact with external services?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack by deepset
    5. OpenAI Functions/Tools
    6. LiteLLM

    AI recommended 6 alternatives but never named mark3labs/mcphost. 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 mark3labs/mcphost?
    pass
    AI named mark3labs/mcphost explicitly

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

  • If a team adopts mark3labs/mcphost in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mark3labs/mcphost 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 mark3labs/mcphost solve, and who is the primary audience?
    pass
    AI named mark3labs/mcphost 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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mark3labs/mcphost — 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
mark3labs/mcphost — RepoGEO report