Dominik Jain 2bb6cd557e ✨ Add project and file discovery to penpotMgmt
Discovery:
- Add listProjects and project-scoped listFiles with content:read checks.
- Return metadata from existing RPCs in dashboard and workspace contexts.
- Reject invalid IDs and preserve backend access errors.

Documentation:
- Keep usage in API type comments and include regenerated MCP API docs.
- Remove README implementation details and consolidate the changelog.
- Add usage information to the MCP server's initial instructions

Validation:
- Pass 8 frontend tests, 81 runtime tests and the runtime build.
- Verify both APIs through live MCP calls in dashboard and workspace.
- Pass type, lint, formatting and diff checks.

AI-assisted-by: gpt-6
Signed-off-by: Dominik Jain <dominik.jain@oraios-ai.de>
2026-10-07 14:58:32 +02:00
..
2026-04-20 19:37:02 +02:00
2026-10-06 15:12:15 +02:00
2026-02-04 12:22:36 +01:00
2026-06-30 16:15:30 +02:00

Penpot MCP Server

A Model Context Protocol (MCP) server that provides Penpot integration capabilities for AI clients supporting the model context protocol (MCP).

Setup

  1. Install Dependencies

     pnpm install
    
  2. Build the Project

     pnpm run build
    
  3. Run the Server

     pnpm run start
    

Penpot Plugin API REPL

The MCP server includes a REPL interface for testing Penpot Plugin API calls. To use it, connect to the URL reported at startup.