Todoist MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Complete Task, Create Project, Create Task, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Todoist through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Todoist app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Todoist "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Todoist?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Todoist MCP Server
Connect your Todoist account to any AI agent and simplify how you organize your life and work through natural conversation.
Pydantic AI validates every Todoist tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Task Control — Create, update, and complete tasks with full support for due dates, priorities, and descriptions.
- Project Oversight — List all your projects and manage sections to keep your workflows structured.
- Smart Filtering — Query your tasks using Todoist's powerful filter syntax (e.g., 'today', 'p1') via AI.
- Categorization — List and manage labels to tag your tasks across different projects.
- Collaboration — List comments on tasks and projects to track discussions and notes.
- Workspace Maintenance — Reopen completed tasks or fetch detailed metadata for specific to-do items.
The Todoist MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Todoist tools available for Pydantic AI
When Pydantic AI connects to Todoist through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-management, to-do-list, workflow-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Mark a task as finished
Create a new project
Add a new to-do item
Get metadata for a project
Get details for a specific task
Can filter by project, label, or filter. List active tasks
List your personal labels
List comments for a task or project
List sections within a project
List your Todoist projects
Mark a closed task as active
Modify an existing task
Connect Todoist to Pydantic AI via MCP
Follow these steps to wire Todoist into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Todoist MCP Server
Pydantic AI provides unique advantages when paired with Todoist through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Todoist integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Todoist connection logic from agent behavior for testable, maintainable code
Todoist + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Todoist MCP Server delivers measurable value.
Type-safe data pipelines: query Todoist with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Todoist tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Todoist and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Todoist responses and write comprehensive agent tests
Example Prompts for Todoist in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Todoist immediately.
"What are my high priority tasks for today?"
"Create a task in the 'Work' project: 'Submit expense report' due Friday at 5pm."
"Show me all active tasks with the label '@errand'."
Troubleshooting Todoist MCP Server with Pydantic AI
Common issues when connecting Todoist to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiTodoist + Pydantic AI FAQ
Common questions about integrating Todoist MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.