RRepoGEO

REPOGEO REPORT · LITE

Doist/todoist-mcp

Default branch main · commit bde1f887 · scanned 6/5/2026, 12:12:10 PM

GitHub: 503 stars · 50 forks

AI VISIBILITY SCORE
22 /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
1 / 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 Doist/todoist-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 README H1 and opening paragraph to clarify AI agent focus

    Why:

    CURRENT
    # Todoist MCP Server
    
    > **Note:** This package was previously named `@doist/todoist-ai`. The old name continues to work as a thin shim that re-exports from `@doist/todoist-mcp`, but new installs should use `@doist/todoist-mcp` directly.
    
    Library for connecting AI agents to Todoist. Includes tools that can be integrated into LLMs,
    enabling them to access and modify a Todoist account on the user's behalf.
    
    These tools can be used both through an MCP server, or imported directly in other projects to
    integrate them to your own AI conversational interfaces.
    COPY-PASTE FIX
    # Todoist Tools for AI Agents (MCP Server)
    
    > **Note:** This package was previously named `@doist/todoist-ai`. The old name continues to work as a thin shim that re-exports from `@doist/todoist-mcp`, but new installs should use `@doist/todoist-mcp` directly.
    
    This library provides a set of robust tools specifically designed to connect AI agents and Large Language Models (LLMs) to Todoist. It enables AI to access, manage, and modify a user's Todoist account on their behalf, acting as a dedicated bridge for AI-driven task management. These tools can be integrated directly into your AI conversational interfaces or utilized via an MCP server.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai, llm, todoist, task-management, productivity, agent-tools, api-wrapper
  • mediumhomepage#3
    Add a homepage URL to complete metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Doist/todoist-mcp

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 Doist/todoist-mcp
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Todoist API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Todoist API · recommended 1×
  2. Microsoft Graph API · recommended 1×
  3. Google Tasks API · recommended 1×
  4. Asana API · recommended 1×
  5. Jira Cloud REST API · recommended 1×
  • CATEGORY QUERY
    How can I enable my AI assistant to manage user tasks in a productivity application?
    you: not recommended
    AI recommended (in order):
    1. Todoist API
    2. Microsoft Graph API
    3. Google Tasks API
    4. Asana API
    5. Jira Cloud REST API
    6. ClickUp API
    7. Trello API

    AI recommended 7 alternatives but never named Doist/todoist-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help integrate task list management capabilities into a large language model?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Pinecone
    4. PostgreSQL
    5. Supabase
    6. Faiss
    7. Weaviate

    AI recommended 7 alternatives but never named Doist/todoist-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 Doist/todoist-mcp?
    pass
    AI did not name Doist/todoist-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?

  • If a team adopts Doist/todoist-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Doist/todoist-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 Doist/todoist-mcp solve, and who is the primary audience?
    pass
    AI did not name Doist/todoist-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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