MRSF FAQs

Question 1

Is MRSF suitable for team collaboration and version control?

Accepted Answer

Absolutely. By storing comments in separate, version-controlled sidecar files, MRSF allows review history to be tracked and managed alongside your Markdown documents, making it ideal for collaborative environments and ensuring review feedback is durable across multiple document versions.

Question 2

What are the main benefits of using MRSF?

Accepted Answer

The main benefits include keeping Markdown documents clean and uncluttered, ensuring review history persists across document edits, providing a structured format for automated review tools and AI agents to reason about comments reliably, and offering CLI tools for managing the review workflow.

Question 3

How does MRSF ensure comments remain linked to content after edits?

Accepted Answer

MRSF uses sophisticated anchoring mechanisms including line/span references and fallback text matching (selected_text). It also provides a `mrsf reanchor` CLI tool that intelligently updates comment positions after the associated Markdown document has been modified.

Question 4

Can MRSF integrate with AI or Large Language Models (LLMs)?

Accepted Answer

Yes, MRSF includes an MCP (Model Context Protocol) server. This server exposes resources like `mrsf://comment/{path}/{id}` which provides a structured API, enabling seamless integration with LLMs and AI assistant clients for advanced context-aware feedback and analysis.

Question 5

What is MRSF and what problem does it solve?

Accepted Answer

MRSF (Markdown Review Sidecar Format) is a portable, version-controlled, and machine-actionable way to store review comments for Markdown files *outside* the files themselves. It solves the problem of review comments vanishing or breaking with document edits, enabling cleaner docs, persistent history, and reliable input for automated review tools and AI agents.

MRSF

MRSF

Key Features

Use Cases

Key Features

Use Cases