RRepoGEO

REPOGEO REPORT · LITE

jgravelle/jcodemunch-mcp

Default branch main · commit e987d88c · scanned 5/20/2026, 12:51:57 PM

GitHub: 1,842 stars · 287 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
33 /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
2 / 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 jgravelle/jcodemunch-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
  • mediumtopics#1
    Add specific topics related to AST parsing, tree-sitter, and LLM context optimization.

    Why:

    CURRENT
    claude, claude-code, serena, token, token-savings, tokens
    COPY-PASTE FIX
    claude, claude-code, serena, token, token-savings, tokens, ast-parsing, tree-sitter, llm-context-window, code-exploration, github-code-analysis, generative-ai-optimization
  • lowlicense#2
    Clarify the project's license(s) in the README.

    Why:

    COPY-PASTE FIX
    Add a section to the README, perhaps under "Legal" or "License", stating: "This project is licensed under the terms outlined in the accompanying LICENSE file. Please refer to the LICENSE file for full details on usage and distribution."

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 jgravelle/jcodemunch-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot Chat
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot Chat · recommended 1×
  2. Cursor · recommended 1×
  3. Codeium · recommended 1×
  4. OpenAI GPT-4 · recommended 1×
  5. Sourcegraph · recommended 1×
  • CATEGORY QUERY
    How to efficiently explore GitHub source code using AI for token savings?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat
    2. Cursor
    3. Codeium
    4. OpenAI GPT-4
    5. Sourcegraph
    6. GitHub's built-in search and navigation

    AI recommended 6 alternatives but never named jgravelle/jcodemunch-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for AST parsing of GitHub repositories to optimize LLM context window usage?
    you: not recommended
    AI recommended (in order):
    1. Tree-sitter (tree-sitter/tree-sitter)
    2. src-d/go-parse-cpg (src-d/go-parse-cpg)
    3. ANTLR (antlr/antlr4)
    4. LSP (Language Server Protocol)
    5. ast (Python module)
    6. libcst (Instagram/LibCST)
    7. babel/parser (babel/babel)
    8. typescript (compiler API) (microsoft/TypeScript)
    9. JavaParser (javaparser/javaparser)
    10. Microsoft.CodeAnalysis (Roslyn) (dotnet/roslyn)

    AI recommended 10 alternatives but never named jgravelle/jcodemunch-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
    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 jgravelle/jcodemunch-mcp?
    pass
    AI named jgravelle/jcodemunch-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 jgravelle/jcodemunch-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jgravelle/jcodemunch-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 jgravelle/jcodemunch-mcp solve, and who is the primary audience?
    pass
    AI did not name jgravelle/jcodemunch-mcp — 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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jgravelle/jcodemunch-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