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Dcc Mcp Krita

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Krita adapter for the DCC Model Context Protocol

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About

Krita adapter for the DCC Model Context Protocol

README

DCC-MCP Krita

Krita adapter for the DCC Model Context Protocol ecosystem.

Krita game-art workflow

The adapter uses a small Krita Python plug-in and a loopback JSON-lines bridge. The MCP server runs in the normal Python environment; KRITA API calls stay inside the plug-in process. It does not expose arbitrary Python or Script-Fu execution.

Install

pip install dcc-mcp-krita
dcc-mcp-krita-install

Restart Krita, enable the bundled Python plug-in, then start:

dcc-mcp-krita

The MCP endpoint defaults to http://127.0.0.1:8767/mcp; the plug-in bridge uses 127.0.0.1:3848. Override the latter with DCC_MCP_KRITA_BRIDGE_PORT before starting both processes.

Current tools

  • Check KRITA bridge status and version.
  • List open images with dimensions.
  • Inspect the active image.

The first release targets safe session discovery. Image mutation and export will be added only through typed KRITA procedures, not arbitrary source evaluation.

Development

python -m pip install -e ".[dev]"
python -m pytest
python -m ruff check src tests tools
python tools/lint_skills.py
python -m build
python -m twine check dist/*

Krita plug-in API reference: https://developer.krita.org/api/3.0/

from github.com/dcc-mcp/dcc-mcp-krita

Installing Dcc Mcp Krita

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/dcc-mcp/dcc-mcp-krita

FAQ

Is Dcc Mcp Krita MCP free?

Yes, Dcc Mcp Krita MCP is free — one-click install via Unyly at no cost.

Does Dcc Mcp Krita need an API key?

No, Dcc Mcp Krita runs without API keys or environment variables.

Is Dcc Mcp Krita hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Dcc Mcp Krita in Claude Desktop, Claude Code or Cursor?

Open Dcc Mcp Krita on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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