RRepoGEO

REPOGEO REPORT · LITE

lizqwerscott/mcp.el

Default branch master · commit f10768e1 · scanned 6/7/2026, 3:42:56 AM

GitHub: 573 stars · 50 forks

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 lizqwerscott/mcp.el, 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
  • highabout#1
    Clarify the "About" description to specify "Model Context Protocol"

    Why:

    CURRENT
    An Mcp client inside Emacs
    COPY-PASTE FIX
    An Emacs client for the Model Context Protocol (MCP), enabling structured communication with AI model servers and context management.
  • hightopics#2
    Add relevant topics for AI/LLM context management

    Why:

    COPY-PASTE FIX
    emacs, emacs-package, ai, llm, model-context, protocol, gptel-integration, llm-integration, context-management
  • mediumreadme#3
    Explicitly state "Model Context Protocol" and its AI/LLM purpose in the README's first sentence

    Why:

    CURRENT
    This is an Emacs client for interfacing with [[https://modelcontextprotocol.io/introduction][MCP]], supporting connections to MCP servers.
    COPY-PASTE FIX
    This is an Emacs client for interfacing with the [[https://modelcontextprotocol.io/introduction][Model Context Protocol (MCP)]], specifically designed for structured communication with AI model servers and managing their context within Emacs.

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 lizqwerscott/mcp.el
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
org-ai
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. org-ai · recommended 1×
  2. llm.el · recommended 1×
  3. gptel · recommended 1×
  4. ai-shell · recommended 1×
  5. emacs-chatgpt · recommended 1×
  • CATEGORY QUERY
    What Emacs package helps manage AI model context and structured communication?
    you: not recommended
    AI recommended (in order):
    1. org-ai
    2. llm.el
    3. gptel
    4. ai-shell
    5. emacs-chatgpt

    AI recommended 5 alternatives but never named lizqwerscott/mcp.el. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to connect and manage various AI backend servers directly within Emacs?
    you: not recommended
    AI recommended (in order):
    1. llm.el (karthink/llm.el)
    2. openai.el (emacs-openai/openai.el)
    3. restclient.el (pashky/restclient.el)
    4. json-mode
    5. json-reformat
    6. curl
    7. shell-mode
    8. term-mode
    9. python.el
    10. requests (psf/requests)
    11. openai (openai/openai-python)
    12. google-cloud-aiplatform (googleapis/python-aiplatform)
    13. docker

    AI recommended 13 alternatives but never named lizqwerscott/mcp.el. 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 lizqwerscott/mcp.el?
    pass
    AI named lizqwerscott/mcp.el explicitly

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

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