Track-it FAQs

Question 1

How does Track-it integrate with AI agents like Claude?

Accepted Answer

Track-it provides a read-only MCP interface, allowing AI agents to list tracked processes, view real-time logs, check process status, and identify errors. This enables intelligent monitoring and analysis by AI without granting execution privileges.

Question 2

Is Track-it difficult to set up?

Accepted Answer

No, Track-it is designed for a quick start. After cloning the repository and installing the MCP dependency, a simple `./install-and-test.sh` script handles Python checks, wrapper tests, and Claude's MCP configuration automatically, getting you started in minutes.

Question 3

What is Track-it and how does it help developers?

Accepted Answer

Track-it is a lightweight CLI wrapper designed to monitor and log any running process. It captures stdout/stderr, stores process history, and makes this data accessible to AI agents, like Claude, through the Model Context Protocol (MCP) for enhanced observability and debugging.

Question 4

Does Track-it store process logs persistently?

Accepted Answer

Yes, Track-it automatically captures separate stdout and stderr log streams and persists process metadata and history in a SQLite database. This ensures that logs and process information are available even after system restarts, offering queryable historical data.

Question 5

Can I pass environment variables to processes monitored by Track-it?

Accepted Answer

Absolutely. Track-it supports passing environment variables directly to your tracked processes, allowing you to configure runtime settings for applications like web servers or workers easily before execution, e.g., `track-it PORT=8080 -- python app.py`.

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