Jrnl FAQs

Question 1

What is Jrnl and what does it do?

Accepted Answer

Jrnl is a Model Context Protocol (MCP) server designed to provide read-only access to your existing `jrnl` command-line journal entries, making them accessible and queryable by AI applications like Claude.

Question 2

What kind of insights and functionalities does Jrnl offer?

Accepted Answer

Jrnl allows you to search journal entries with various filters, list all tags with usage counts, retrieve comprehensive journal statistics, analyze tag co-occurrences, and manage multiple available journals from your AI interface.

Question 3

What are the prerequisites for setting up Jrnl?

Accepted Answer

To use Jrnl, you need Node.js version 18 or higher installed on your system, and the `jrnl` command-line journal tool must already be installed and configured (`pip install jrnl`).

Question 4

How does Jrnl integrate with AI models like Claude?

Accepted Answer

Jrnl acts as an MCP server. By configuring your AI application (e.g., Claude Desktop) to connect to Jrnl, you empower the AI to use predefined tools to interact with and extract information from your journal data.

Question 5

Is Jrnl secure or read-only?

Accepted Answer

Yes, Jrnl is specifically designed for read-only access. It enables the viewing and analysis of your journal entries without providing any functionality to modify, delete, or create new entries, ensuring the integrity of your original `jrnl` files.

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