How to Use the Todoist MCP in LlamaIndex

Q: How do I search for Todoist data using LlamaIndex?

You index results from tools like listtasks. Later, you query the knowledge base directly. You get answers grounded in the actual task titles and projects listed.

Q: Can I track new tasks created in Todoist using LlamaIndex?

Yes. By indexing the output of createtask, every newly generated item is stored as a searchable fact, not just an executed command.

Q: What kind of data does this MCP Server touch regarding Todoist privacy?

This server touches task metadata, including the projectid and general task content. It doesn't handle passwords or account credentials.

Q: How does Todoist integrate with LlamaIndex for context?

The MCP Server provides tools like listcomments and listlabels. These outputs are indexed, allowing your agent to answer questions about historical task discussions or tagging patterns.

Q: Does Todoist support project listing in LlamaIndex?

It does. By indexing the output of listprojects, you create a searchable map of all available projects for future queries.

Ground your knowledge base in Todoist data with LlamaIndex using our MCP Server.

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Connect Todoist MCP to LlamaIndex

Create your Vinkius account to connect Todoist to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Todoist with LlamaIndex

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Indexing Task Lists for LlamaIndex

The `list_tasks` tool lets you pull a list of active tasks, and the output becomes part of your vector store. This means later queries can search over the actual task titles and projects. You build RAG applications where past Todoist data is combined with documents, making everything searchable by semantic meaning.

Creating Knowledge from Todoist via MCP Server

When you use `create_task`, the result can be indexed. You're not just executing an action; you're adding a verifiable record of that action into your knowledge graph. This lets you query past sessions and ask, 'What was created on Project X last month?' based on live API data.

Project Structure Retrieval

The `list_projects` tool gathers all project identifiers. LlamaIndex indexes these IDs alongside their corresponding sections from `list_sections`. This lets you query the overall structure of your work, not just individual tasks.

Setup guide

Set up Todoist MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Todoist MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Todoist tools.",
)
response = await agent.run("List recent Todoist data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Todoist. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Todoist MCP in LlamaIndex

You index results from tools like `list_tasks`. Later, you query the knowledge base directly. You get answers grounded in the actual task titles and projects listed.

Yes. By indexing the output of `create_task`, every newly generated item is stored as a searchable fact, not just an executed command.

This server touches task metadata, including the `project_id` and general `task content`. It doesn't handle passwords or account credentials.

The MCP Server provides tools like `list_comments` and `list_labels`. These outputs are indexed, allowing your agent to answer questions about historical task discussions or tagging patterns.

It does. By indexing the output of `list_projects`, you create a searchable map of all available projects for future queries.

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