Why this server?
This server is the best fit as its description perfectly matches the request: it is designed for 'logging changes, tracking project phases, and keeping architecture docs synchronized' while maintaining 'consistent project documentation and progress logs' in a human-readable format.
Why this server?
This server specifically enables task management (creating the initial checklist) using plain Markdown files, supporting the core request to manage state and checklists within a human-readable document format.
Why this server?
This tool focuses on logging activities and changes ('log what changes were made each query') directly into 'daily markdown worklog files,' fitting the core documentation and logging requirements.
Why this server?
Since the workflow requires maintaining a Markdown document of state, a secure filesystem manipulation tool is essential for reading, writing, and modifying those files reliably.
Why this server?
This server is optimized for managing Markdown documents through CRUD operations, directly supporting the maintenance and updating of the 'human readable (Markdown) document of the project's state.'
Why this server?
This specifically converts AI agent plans into structured markdown task lists, helping the agent manage the initial 'to-do list' and track movement down the 'checklist' within the documentation structure.
Why this server?
Useful for the logging requirement, as it 'Logs and analyzes Claude conversations in structured markdown format,' effectively recording the queries and responses that result in changes.
Why this server?
While internal Markdown files handle logging, Todoist is an excellent external tool for generating and managing the initial 'to-do list' checklist and tracking its status ('moving down the checklist').
Why this server?
This server is excellent for logging changes, as it 'automatically generates structured release notes from Git repository tags, analyzing differences between tags and saving formatted Markdown output.'
Why this server?
This service automatically saves structured summaries and logs to Markdown files, which aligns perfectly with maintaining a human-readable log of the project's state and history over time.