RRepoGEO

REPOGEO REPORT · LITE

larksuite/lark-openapi-mcp

Default branch main · commit 21920354 · scanned 5/30/2026, 11:02:15 PM

GitHub: 714 stars · 96 forks

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 larksuite/lark-openapi-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
    Reposition the README's opening to clearly state its role as an AI agent integration tool

    Why:

    CURRENT
    # Feishu/Lark OpenAPI MCP

This is the Feishu/Lark official OpenAPI MCP (Model Context Protocol) tool designed to help users quickly connect to the Feishu/Lark platform and enable efficient collaboration between AI Agents and Feishu/Lark.
    COPY-PASTE FIX
    # Feishu/Lark OpenAPI MCP: AI Agent Integration Tool for Feishu/Lark Open Platform

This official Feishu/Lark OpenAPI Model Context Protocol (MCP) tool enables AI agents to directly integrate with the Feishu/Lark platform, automating workflows like document processing, conversation management, and calendar scheduling.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    feishu, lark, openapi, ai-agents, integrations, workflow-automation, collaboration, office-suite-api, model-context-protocol
  • mediumhomepage#3
    Add an official homepage URL

    Why:

    COPY-PASTE FIX
    https://www.larksuite.com/en_US/open

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 larksuite/lark-openapi-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Zapier
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Zapier · recommended 2×
  2. Microsoft Graph API · recommended 2×
  3. Microsoft Power Automate · recommended 1×
  4. UiPath · recommended 1×
  5. Slack API · recommended 1×
  • CATEGORY QUERY
    How can I integrate AI agents with enterprise collaboration tools for automated workflows?
    you: not recommended
    AI recommended (in order):
    1. Microsoft Power Automate
    2. Zapier
    3. UiPath
    4. Slack API
    5. Microsoft Graph API
    6. Workato
    7. Pipedream

    AI recommended 7 alternatives but never named larksuite/lark-openapi-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable AI assistants to manage documents and schedules through office suite APIs?
    you: not recommended
    AI recommended (in order):
    1. Microsoft Graph API
    2. Google Workspace APIs
    3. Zapier
    4. IFTTT
    5. Dropbox API
    6. Box API

    AI recommended 6 alternatives but never named larksuite/lark-openapi-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 larksuite/lark-openapi-mcp?
    pass
    AI named larksuite/lark-openapi-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 larksuite/lark-openapi-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named larksuite/lark-openapi-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 larksuite/lark-openapi-mcp solve, and who is the primary audience?
    pass
    AI named larksuite/lark-openapi-mcp explicitly

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

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