Scribe FAQs

Question 1

How does Scribe integrate with AI agents and development workflows?

Accepted Answer

Scribe functions as an MCP server, allowing seamless integration with AI agent environments (like Claude Desktop/Code) and tools such as Codex CLI. It provides tooling to synchronize documentation and progress logs directly within your development activities.

Question 2

Can I use Scribe for multiple projects or tailor its behavior?

Accepted Answer

Yes, Scribe supports project-specific configurations. You can define tailored documentation and logging behaviors for individual projects, allowing you to manage diverse subprojects efficiently and switch between contexts using its `set_project` tool.

Question 3

How does Scribe help me keep my project documentation up-to-date?

Accepted Answer

Scribe includes customizable reminder metadata for stale documentation, overdue progress logs, and active project context. These intelligent cues help ensure your architecture, phase plans, and checklists remain in lockstep with ongoing work, preventing information drift.

Question 4

What is Scribe and what problem does it solve?

Accepted Answer

Scribe is a Model Context Protocol (MCP) server designed to maintain project documentation and progress logs consistently across AI agents. It solves the challenge of information drift by keeping your docs and logs in sync with day-to-day development activities.

Question 5

What kind of storage options does Scribe offer?

Accepted Answer

Scribe supports flexible storage backends. By default, it uses SQLite for simplicity, but it also offers robust PostgreSQL support for shared storage environments, configurable via environment variables.

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