Tududi FAQs

Question 1

How does it allow AI to manage my Tududi data?

Accepted Answer

It exposes a standardized MCP endpoint, offering 8 domain modules (tasks, projects, notes, areas, inbox, tags, profile, metrics) and 25 distinct tools. This allows AI assistants to discover and invoke functionalities for creating, reading, updating, and deleting Tududi data.

Question 2

What are the prerequisites for using Tududi MCP Server?

Accepted Answer

You need a running, self-hosted Tududi instance with API access enabled, as this server acts as a bridge to its REST API. Additionally, Node.js 18+ or Bun runtime is required to run the server.

Question 3

Can I customize which Tududi modules are exposed to AI clients?

Accepted Answer

Yes, Tududi MCP Server supports whitelabel configuration. You can specify which modules (e.g., tasks, projects, notes) to enable for client discovery by using the 'tududi-enabled-modules' HTTP header in your MCP client configuration.

Question 4

Is data access secure with Tududi MCP Server?

Accepted Answer

Yes, it securely authenticates LLM clients on each request. It validates a bearer token against your Tududi instance's API via the 'Authorization' header, ensuring only authorized clients can access and manipulate your data.

Question 5

What is Tududi MCP Server?

Accepted Answer

Tududi MCP Server is an open-source Model Context Protocol (MCP) server designed to connect LLM-powered clients (AI assistants) to your self-hosted Tududi GTD application. It enables AI to read and manipulate your productivity data programmatically.

Tududi

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