RRepoGEO

REPOGEO REPORT · LITE

vivekVells/mcp-pandoc

Default branch main · commit 1ed1007b · scanned 6/5/2026, 11:11:46 AM

GitHub: 551 stars · 59 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 vivekVells/mcp-pandoc, 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
    Clarify 'MCP' acronym in README's opening

    Why:

    CURRENT
    A Model Context Protocol server for document format conversion using pandoc.
    COPY-PASTE FIX
    mcp-pandoc is a Model Context Protocol (MCP) server for document format conversion using pandoc, designed to transform content between various document formats while preserving structure.
  • hightopics#2
    Add server-related topics

    Why:

    CURRENT
    pandoc, pandoc-markdown, pandoc-template
    COPY-PASTE FIX
    pandoc, pandoc-markdown, pandoc-template, document-conversion-server, rest-api, microservice, api
  • mediumreadme#3
    Expand README overview to highlight server's automation and format range

    Why:

    CURRENT
    This server provides tools to transform content between different document formats while preserving formatting and structure.
    COPY-PASTE FIX
    As an MCP server, mcp-pandoc enables automated, programmatic document format conversion, supporting a wide array of transformations such as Markdown to HTML, PDF, DOCX, and more, making it ideal for integration into automated workflows and applications.

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 vivekVells/mcp-pandoc
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pandoc
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pandoc · recommended 2×
  2. CommonMark · recommended 1×
  3. markdown-it-py · recommended 1×
  4. Mistune · recommended 1×
  5. markdown-it · recommended 1×
  • CATEGORY QUERY
    How can I programmatically convert documents between formats like Markdown and HTML, preserving structure?
    you: not recommended
    AI recommended (in order):
    1. Pandoc
    2. CommonMark
    3. markdown-it-py
    4. Mistune
    5. markdown-it
    6. CommonMarker
    7. Marked.js
    8. Beautiful Soup
    9. JSDOM
    10. Md4c
    11. Apache POI
    12. Open XML SDK

    AI recommended 12 alternatives but never named vivekVells/mcp-pandoc. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a server-based solution to automate document format transformations with Pandoc integration.
    you: not recommended
    AI recommended (in order):
    1. Docverter
    2. Pandoc-Server
    3. Flask
    4. Django
    5. Express.js
    6. Gin
    7. Pandoc CLI
    8. Nextcloud
    9. GitLab CI/CD
    10. GitHub Actions
    11. Pandoc

    AI recommended 11 alternatives but never named vivekVells/mcp-pandoc. 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 vivekVells/mcp-pandoc?
    pass
    AI named vivekVells/mcp-pandoc explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of vivekVells/mcp-pandoc. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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vivekVells/mcp-pandoc — 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