RRepoGEO

REPOGEO REPORT · LITE

chongdashu/unreal-mcp

Default branch main · commit 4e5f00da · scanned 5/24/2026, 1:03:15 AM

GitHub: 1,901 stars · 308 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
28 /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
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 chongdashu/unreal-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

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify the 'MCP' acronym in the README's opening sentence

    Why:

    CURRENT
    This project enables AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).
    COPY-PASTE FIX
    This project enables AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the **Model Context Protocol (MCP) – not Epic Games' Master Control Program or Fortnite's Microservice Cloud Platform.**
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, for example, using the MIT License text, as suggested by the existing README link.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add `https://github.com/chongdashu/unreal-mcp` (or a dedicated project page if one exists) to the repository's 'About' section as the homepage.

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 chongdashu/unreal-mcp
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. Azure Cognitive Services · recommended 2×
  3. Python Editor Scripting · recommended 1×
  4. Azure OpenAI Service · recommended 1×
  5. Hugging Face Transformers · recommended 1×
  • CATEGORY QUERY
    How to control Unreal Engine editor and runtime with natural language AI instructions?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Python Editor Scripting
    3. Azure OpenAI Service
    4. Azure Cognitive Services
    5. Hugging Face Transformers
    6. Llama 2
    7. Mistral
    8. T5
    9. Remote Control API
    10. NVIDIA Riva
    11. Google Cloud Speech-to-Text

    AI recommended 11 alternatives but never named chongdashu/unreal-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a library to enable AI assistant integration for Unreal Engine automation.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Azure Cognitive Services
    3. Google Cloud AI Platform
    4. Hugging Face Transformers (huggingface/transformers)
    5. Unreal Engine's Python Plugin
    6. gRPC (grpc/grpc)

    AI recommended 6 alternatives but never named chongdashu/unreal-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
    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 chongdashu/unreal-mcp?
    pass
    AI named chongdashu/unreal-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 chongdashu/unreal-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named chongdashu/unreal-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 chongdashu/unreal-mcp solve, and who is the primary audience?
    pass
    AI did not name chongdashu/unreal-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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chongdashu/unreal-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