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Review system MCP server for UI prototypes. Humans write comments in browser, AI agents resolve them via MCP.

Project description

ui-ticket-mcp

Review system for UI prototypes. Humans write comments in the browser, AI agents resolve them via MCP. One process serves both MCP (stdio) and REST API (HTTP).

Setup

Add to your .mcp.json:

{
  "mcpServers": {
    "ui-ticket-mcp": {
      "command": "uvx",
      "args": ["ui-ticket-mcp"],
      "env": {
        "PROJECT_ROOT": "/path/to/your/project"
      }
    }
  }
}

uvx downloads and runs the package automatically. MCP connects via stdio, REST API starts in background on http://localhost:3200. Reviews are stored in {PROJECT_ROOT}/.reviews/reviews.db (auto-created, committable to git).

Port configurable via REVIEW_PORT env var.

Fallback if you don't have uv: pip install ui-ticket-mcp, then use "command": "ui-ticket-mcp" instead of uvx.

MCP Tools

Tool Description
get_review_summary() Summary of pages with open/resolved counts
get_reviews(page_id?) List comments, optionally filtered by page
add_review(page_id, author, text) Add a new comment
resolve_review(review_id, resolved_by?) Mark as resolved
reopen_review(review_id) Reopen a resolved review
batch_resolve(page_id, resolved_by?) Resolve all open on a page
get_pending_work() Open reviews grouped by page (todo list)
find_source_file_tool(page_id) Find source files matching a page_id
get_setup_guide() Full setup guide for the review system

REST API (starts automatically)

Method Endpoint Description
GET /api/reviews/summary Per-page summary
GET /api/reviews All reviews
GET /api/reviews/{page_id} Reviews for a page
POST /api/reviews/{page_id} Add review
PATCH /api/review/{id} Update status/text
DELETE /api/review/{id} Delete review

More

Full documentation: github.com/0ics-srls/ui-ticket-mcp

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