RRepoGEO

REPOGEO REPORT · LITE

modelcontextprotocol/mcpb

Default branch main · commit 70fe3b34 · scanned 6/18/2026, 7:12:18 AM

GitHub: 1,975 stars · 194 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 modelcontextprotocol/mcpb, 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
    Reposition the README's opening to clearly state the project's purpose as desktop extensions

    Why:

    CURRENT
    # MCP Bundles (MCPB)

> ⚠️ IMPORTANT NOTICE: This project is being renamed from DXT (Desktop Extensions) to MCPB (MCP Bundles)

> If you're looking for the DXT tools, they have been renamed to MCPB. Please update your dependencies and tooling:

> - `dxt` CLI is now `mcpb`
> - `.dxt` files are now `.mcpb`
> - `@anthropic-ai/dxt` package will be moved to `@anthropic-ai/mcpb`

MCP Bundles (`.mcpb`) are zip archives containing a local MCP server and a `manifest.json` that describes the server and its capabilities. The format is spiritually similar to Chrome extensions (`.crx`) or VS Code extensions (`.vsix`), enabling end users to install local MCP servers with a single click.
    COPY-PASTE FIX
    # MCP Bundles (MCPB)

MCP Bundles (MCPB) define a standardized format and provide tooling for distributing and installing local Model Context Protocol (MCP) servers as one-click desktop extensions. Similar to Chrome or VS Code extensions, `.mcpb` files are zip archives containing a local MCP server and a `manifest.json`, enabling end users to easily add local AI capabilities to desktop applications like Claude for macOS and Windows.

> ⚠️ IMPORTANT NOTICE: This project is being renamed from DXT (Desktop Extensions) to MCPB (MCP Bundles)

> If you're looking for the DXT tools, they have been renamed to MCPB. Please update your dependencies and tooling:

> - `dxt` CLI is now `mcpb`
> - `.dxt` files are now `.mcpb`
> - `@anthropic-ai/dxt` package will be moved to `@anthropic-ai/mcpb`
  • hightopics#2
    Add relevant topics to improve categorization and discoverability

    Why:

    COPY-PASTE FIX
    desktop-extensions, local-servers, ai-extensions, mcp, model-context-protocol, cli-tool, bundle-format, desktop-apps, cross-platform
  • mediumlicense#3
    Clarify the project's license(s) directly in the README

    Why:

    COPY-PASTE FIX
    ## License

This project is licensed under [insert specific license name(s) here, e.g., Apache-2.0 and MIT]. Please refer to the `LICENSE` file for full 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 modelcontextprotocol/mcpb
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Electron
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Electron · recommended 2×
  2. NW.js · recommended 2×
  3. PyInstaller · recommended 1×
  4. Launch4j · recommended 1×
  5. NSIS · recommended 1×
  • CATEGORY QUERY
    How to simplify distributing and installing local server applications for desktop users?
    you: not recommended
    AI recommended (in order):
    1. Electron
    2. NW.js
    3. PyInstaller
    4. Launch4j
    5. NSIS
    6. Inno Setup
    7. Docker Desktop

    AI recommended 7 alternatives but never named modelcontextprotocol/mcpb. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Framework for desktop applications to load and manage local server extensions?
    you: not recommended
    AI recommended (in order):
    1. Electron
    2. NW.js
    3. Qt
    4. PySide6
    5. PyQt6
    6. Flutter
    7. Tauri
    8. WPF
    9. ASP.NET Core
    10. Microsoft.AspNetCore.Hosting
    11. JavaFX
    12. Jetty
    13. Undertow

    AI recommended 13 alternatives but never named modelcontextprotocol/mcpb. 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 modelcontextprotocol/mcpb?
    pass
    AI named modelcontextprotocol/mcpb explicitly

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

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

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

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modelcontextprotocol/mcpb — 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