A local-first markdown review tool with MCP integration, enabling AI and humans to collaboratively annotate documents inline and generate revision prompts.
Enables anchored comments in Markdown files that AI agents can propose changes for, with human approval before application, all managed via an MCP server.
Enables interactive review of rendered Markdown documents by selecting passages, queueing line-anchored feedback, and submitting it in one batch to a coding agent that edits the original source file.
An MCP server for reviewing markdown plans before AI agents implement them. Enables annotation of plans with Fix, Question, and Highlight, which AI agents can read directly through MCP.