RRepoGEO

REPOGEO REPORT · LITE

liaokongVFX/MCP-Chinese-Getting-Started-Guide

Default branch main · commit a911d8ce · scanned 5/23/2026, 8:48:18 AM

GitHub: 3,502 stars · 217 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
15 /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
0 / 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 liaokongVFX/MCP-Chinese-Getting-Started-Guide, 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 README's opening to emphasize LLM protocol guide

    Why:

    CURRENT
    模型上下文协议(MCP)是一个创新的开源协议,它重新定义了大语言模型(LLM)与外部世界的互动方式。MCP 提供了一种标准化方法,使任意大语言模型能够轻松连接各种数据源和工具,实现信息的无缝访问和处理。MCP 就像是 AI 应用程序的 USB-C 接口,为 AI 模型提供了一种标准化的方式来连接不同的数据源和工具。
    COPY-PASTE FIX
    本指南旨在帮助开发者快速入门模型上下文协议(MCP),这是一个专为大语言模型(LLM)设计的创新开源协议。MCP 重新定义了 LLM 与外部世界的互动方式,提供标准化方法,使 LLM 能够无缝连接各种数据源和工具,如同 AI 应用的 USB-C 接口。
  • mediumlicense#2
    Add a standard open-source LICENSE file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Choose and add a standard open-source LICENSE file (e.g., MIT, Apache-2.0, GPL-3.0) to the repository root.
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    CURRENT
    Homepage:
    COPY-PASTE FIX
    https://github.com/liaokongVFX/MCP-Chinese-Getting-Started-Guide

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 liaokongVFX/MCP-Chinese-Getting-Started-Guide
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Microsoft Semantic Kernel · recommended 1×
  4. Haystack · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How to standardize large language model interaction with external data sources and custom tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. OpenAI Assistants API
    6. LiteLLM
    7. Instructor

    AI recommended 7 alternatives but never named liaokongVFX/MCP-Chinese-Getting-Started-Guide. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python library to develop a server exposing custom functions to AI models.
    you: not recommended
    AI recommended (in order):
    1. FastAPI
    2. Flask
    3. flask-restx
    4. connexion
    5. Django REST Framework (DRF)
    6. Django
    7. drf-spectacular
    8. Gradio
    9. gRPC
    10. Apache Thrift
    11. Protocol Buffers
    12. grpcio

    AI recommended 12 alternatives but never named liaokongVFX/MCP-Chinese-Getting-Started-Guide. 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 liaokongVFX/MCP-Chinese-Getting-Started-Guide?
    pass
    AI did not name liaokongVFX/MCP-Chinese-Getting-Started-Guide — 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?

  • If a team adopts liaokongVFX/MCP-Chinese-Getting-Started-Guide in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name liaokongVFX/MCP-Chinese-Getting-Started-Guide — 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?

  • In one sentence, what problem does the repo liaokongVFX/MCP-Chinese-Getting-Started-Guide solve, and who is the primary audience?
    pass
    AI did not name liaokongVFX/MCP-Chinese-Getting-Started-Guide — 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?

Embed your GEO score

Drop this badge into the README of liaokongVFX/MCP-Chinese-Getting-Started-Guide. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/liaokongVFX/MCP-Chinese-Getting-Started-Guide.svg)](https://repogeo.com/en/r/liaokongVFX/MCP-Chinese-Getting-Started-Guide)
HTML
<a href="https://repogeo.com/en/r/liaokongVFX/MCP-Chinese-Getting-Started-Guide"><img src="https://repogeo.com/badge/liaokongVFX/MCP-Chinese-Getting-Started-Guide.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

liaokongVFX/MCP-Chinese-Getting-Started-Guide — 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