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Closing the Loop: A Self-Evolving Defense
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Todoist MCP Server
for AI Agents

Connect your AI agent to StackOne's Todoist MCP server and give it 52 MCP tools out of the box. Auth, tool execution, and security all managed.

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Todoist MCP Server
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52 Agent Actions

Create, read, update, and delete across Todoist — and extend your agent's capabilities with custom actions.

MCP Actions → Build Actions →

Authentication

Agent Tool Authentication

Per-user OAuth in one call. Your Todoist MCP server gets session-scoped tokens with zero credentials stored on your infra.

Agent Auth →

Security

Agent Protection

Every Todoist tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.

Prompt Injection Defense →

Performance

Max Agent Context. Min Cost.

Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Todoist call.

Tools Discovery →

What is the Todoist MCP Server?

A Todoist MCP server lets AI agents read and write Todoist data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Todoist MCP server ships with 52 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.

All Todoist MCP Tools

Every action from Todoist's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.

Comments

  • Create Comment

    Create a new comment on a task or project

  • List Comments

    Retrieve all comments for a task or project

  • Get Comment

    Retrieve a specific comment by ID

  • Update Comment

    Update an existing comment

  • Delete Comment

    Delete a comment

Labels

  • Create Label

    Create a new label

  • List Labels

    Get all user labels

  • Get Label

    Get a label by ID

  • Search Labels

    Search user labels by name

  • Update Label

    Update an existing label

  • Delete Label

    Delete a label

Shared Labels

  • List Shared Labels

    Get shared labels from active tasks

  • Remove Shared Label

    Remove a shared label from all tasks

Projects

  • Create Project

    Create a new project

  • List Projects

    Get all active user projects

  • Get Project

    Get a project by ID

  • Search Projects

    Search active projects by name

  • Update Project

    Update an existing project

  • Delete Project

    Delete a project

Sections

  • Create Section

    Create a new section

  • List Sections

    Get all active sections

  • Get Section

    Get a section by ID

  • Search Sections

    Search active sections by name

  • Update Section

    Update an existing section

  • Delete Section

    Delete a section

Tasks

  • Create Task

    Create a new task

  • List Tasks

    Get all active tasks for the user

  • Get Task

    Get a task by ID

  • Update Task

    Update an existing task

  • Move Task

    Move task to another project, section or parent

  • Delete Task

    Delete a task

Other (21)

  • Upload File

    Upload a file to Todoist

  • Get Activity Logs

    Get paginated activity logs for the user

  • List Archived Projects

    Get all archived projects

  • Get Project Permissions

    Get available project roles and actions

  • List Project Collaborators

    Get all collaborators for a project

  • Get Tasks By Filter

    Get all tasks matching a filter

  • Get Tasks Completed By Completion Date

    Get completed tasks by completion date range

  • Get Tasks Completed By Due Date

    Get completed tasks by due date range

  • Get User Info

    Get information about the current user

  • Get Productivity Stats

    Get comprehensive productivity statistics

  • Update Notification Setting

    Update a notification setting

  • Delete Upload

    Delete an uploaded file

  • Rename Shared Label

    Rename a shared label across all tasks

  • Archive Project

    Archive a project

  • Unarchive Project

    Unarchive a project

  • Join Project

    Join a workspace project

  • Archive Section

    Mark a section as archived

  • Unarchive Section

    Mark a section as active again

  • Close Task

    Close a task

  • Reopen Task

    Reopen a task

  • Quick Add Task

    Add a task using Quick Add

Set Up Your Todoist MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to Todoist in under 10 lines of code.

MCP Clients

Claude Desktop setup guide
Claude Code setup guide
Cursor setup guide
Goose setup guide

Agent Frameworks

Claude Desktop
{
  "mcpServers": {
    "stackone": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.stackone.com/mcp?x-account-id=<account_id>",
        "--header",
        "Authorization: Basic <YOUR_BASE64_TOKEN>"
      ]
    }
  }
}

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Platform Resources

MCP Code Mode: Keeping Tool Responses Out of Agent Context

Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.

11 min

Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery

Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.

10 min

Indirect Prompt Injection Defense for MCP Tools: A Technical Guide

MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.

12 min

MCP vs A2A: Architecture, Security, and When to Use Each

MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.

12 min

MCP vs API: What 200+ Connector Builds Taught Us

MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.

14 min read

Todoist MCP Server FAQ

Does StackOne have a Todoist MCP server?
Yes. StackOne offers a hosted Todoist MCP server with 52 pre-built actions, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.
Todoist MCP server vs direct API integration — what's the difference?
A Todoist MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Todoist. A Todoist MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling Todoist at runtime. StackOne provides both.
How does Todoist authentication work for AI agents?
Todoist authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Todoist account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are Todoist MCP tools vulnerable to prompt injection?
Yes — Todoist MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a Todoist agent and how do I avoid it?
Context bloat happens when Todoist tool schemas and API responses eat your Todoist agent's memory, preventing it from reasoning effectively. A single Todoist query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my Todoist agent can access?
Yes — you can limit which actions your Todoist agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my Todoist MCP server?
Yes — you can create custom agent actions for your Todoist MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Todoist's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Todoist MCP server?
Skip a Todoist MCP server if your integration is purely software-to-software — direct Todoist API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call Todoist actions at runtime.
What AI frameworks and AI clients does the StackOne Todoist MCP server support?
The StackOne Todoist MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.

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