Todoist MCP Server for LangChainGive LangChain instant access to 12 tools to Complete Task, Create Project, Create Task, and more
LangChain is the leading Python framework for composable LLM applications. Connect Todoist through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The Todoist app connector for LangChain 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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"todoist-extended": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Todoist, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Todoist through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 LangChain via MCP
Follow these steps to wire Todoist into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Todoist MCP Server
LangChain provides unique advantages when paired with Todoist through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Todoist MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Todoist queries for multi-turn workflows
Todoist + LangChain Use Cases
Practical scenarios where LangChain combined with the Todoist MCP Server delivers measurable value.
RAG with live data: combine Todoist tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Todoist, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Todoist tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Todoist tool call, measure latency, and optimize your agent's performance
Example Prompts for Todoist in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Todoist to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTodoist + LangChain FAQ
Common questions about integrating Todoist MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.