Live 62 Actions

Todoist MCP Server
for AI Agents

Q: 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.

Connect your AI agent to StackOne's Todoist MCP server and give it 62 MCP tools out of the box. Auth, tool execution, and security all managed.

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Todoist MCP Server

Built by

StackOne

Coverage

62 Agent Actions

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, with 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 work with Todoist data through the Model Context Protocol, Anthropic's open standard for connecting LLMs to external tools. StackOne's Todoist MCP server ships with 62 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 StackOne action for Todoist, ready for your agent. 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

Unified Organizations

List Unified Organizations
List unified organizations in Todoist.
Get Unified Organization
Get a unified Todoist organization by ID.

Unified Roles

List Unified Roles
List unified roles in Todoist.
Get Unified Role
Get a unified Todoist role by ID.

Unified Users

List Unified Users
List unified users in Todoist.
Get Unified User
Get a unified Todoist user by ID.

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 (25)

Upload File
Upload a file to Todoist
Get Activity Logs
Get paginated activity logs for the user
Get Unified Credentials
Get the current Todoist connection's unified credentials and identity.
List Unified Resource Users
List unified resource users in Todoist.
List Unified Resource Types
List unified resource types in Todoist.
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
IAM Auth Test
Validate the current token and return the raw, unmapped Todoist /user response. Bypasses the unified IAM credentials schema — use for debugging credential issues, not for normal app flows.
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

Agent Frameworks

Claude Desktop-

JSON

Claude Desktop Docs

{
  "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

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, the security risks they share, and when to use one, both or a hybrid.

12 min

MCP vs API: What Hundreds of Connector Builds Taught Us

MCP wraps APIs, it doesn't replace them. After building hundreds of 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 managed Todoist MCP server with 62 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 work, where backend code calls Todoist. A Todoist MCP server is for AI agents that discover and call Todoist at runtime, such as MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI. 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 to 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, such as 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. It runs regex patterns in ~1ms, then a MiniLM classifier in ~4ms. Accuracy is 88.7%, and it runs entirely on CPU.

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 reduces it by loading only the tools relevant to each query.

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, because 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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Todoist MCP Serverfor AI Agents