How do I connect an AI agent to Krita Codex MCP?

Install the pypi package krita-codex-mcp and run it as a local MCP server.

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Catalog › io.github.cyyprezz/krita-codex-mcp

Is Krita Codex MCP reliable?

Not measured yet Krita Codex MCP runs locally (installed package), so Faceabot cannot measure it over the network.

En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Control Krita through a secure local MCP server and authenticated Windows bridge.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.2.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "krita-codex-mcp": {
      "command": "uvx",
      "args": [
        "krita-codex-mcp"
      ]
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.cyyprezz/krita-codex-mcp"} on https://faceabot.com/api/mcp.

Does it actually do the job?

— Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

No measurement yet.

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

More from the same publisher

Codex ServerOps MCP Not measured yet

Stateful Windows OpenSSH server operations for Codex with local credential handling.

Package pypi : codex-serverops-mcp · website · measurements and details

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Publisher of Krita Codex MCP?

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