Create Project AI Summaries with MCP

PaPut skill sheets can display AI summaries based on the memos linked to each project. Instead of generating summaries inside the app, create and save them through PaPut MCP from an MCP-compatible client such as Claude, ChatGPT, Codex, or Claude Code.

After saving a summary, you can view it from the "View AI summary" button on the project card in the skill sheet.

What you can do

MCP tools to use

The typical flow is:

  1. Use paput_get_skill_sheet to inspect your skill sheet and find the target project
  2. Use paput_get_skill_sheet_project_summary_context to fetch the project details and related memo bodies
  3. Create the summary in your AI client
  4. Use paput_update_skill_sheet_project_ai_summary to save the summary

Prompt examples

Ask your MCP-compatible client like this:

Check my PaPut skill sheet and help me choose the target project.
Using the memos linked to that project, create an AI summary that is useful for a resume and save it back to PaPut.

If you already know the target project, specify it by project name:

Find the project named "E-commerce Site Development Project" in my PaPut skill sheet and fetch its summary context.
Using the related memos, create a summary that explains my responsibilities, technology decisions, and outcomes, then save it as the PaPut project AI summary.

Setup

If you have not configured PaPut MCP yet, start with About MCP Integration. Normal skill sheet operations can be used in both Remote HTTP Mode and Local CLI Mode.

If you also want to handle knowledge candidates from local Claude Code or Codex sessions, use Local CLI Mode from Using PaPut MCP with Coding Agents.

Notes