DanceFlow MCP server

DanceFlow for people and agents

Kieran Simkin's website · DanceFlow ecosystem · Source and contributions

Portable instructions for ten independently useful music, motion and media tools, plus a local MCP adapter that composes the published KeywordMoves and PixelCue interfaces. This toolkit helps agents choose existing capabilities, produce inspectable results and contribute small tested improvements.

<!-- mcp-name: io.github.kieransimkin/danceflow -->

Install in Claude Code

claude plugin marketplace add kieransimkin/DanceFlow
claude plugin install danceflow@danceflow

Run the setup skill after installation. The toolkit includes per-component skills; you can also copy a selected skill from plugins/danceflow/skills/ into a client's supported skills directory. It uses the portable Agent Skills format.

Install in Codex

codex plugin marketplace add kieransimkin/DanceFlow

Select DanceFlow in the plugin directory and install it. Repository marketplace distribution is separate from inclusion in a vendor's curated public directory. Nothing here claims vendor approval or endorsement.

Use the local MCP server

Requires uv and Python 3.10–3.13. Choose one workspace containing authorised input files:

uvx --python 3.13 --from danceflow-agent-tools==0.1.2 danceflow-mcp --workspace ./my-workspace

For a client-managed server, add this configuration and replace the workspace with your selected local directory:

{
  "mcpServers": {
    "danceflow": {
      "command": "uvx",
      "args": ["--python", "3.13", "--from", "danceflow-agent-tools==0.1.2", "danceflow-mcp"],
      "env": {"DANCEFLOW_WORKSPACE": "/absolute/path/to/my-workspace"}
    }
  }
}

Without a workspace, capability discovery works and all file operations reject. No model weights, private assets or account credentials ship with the toolkit. Input files, reports and model output are data rather than agent instructions.

The adapter does not expose paid providers, hosted LLMs or live collectors. Those remain explicitly configured operations in KeywordMoves. Install PixelCue separately with Python 3.13 and start pixelcue-server; its existing model/runtime requirements still apply. MCP HTTP tests use a synthetic service fixture, not a claim that a particular GPU/model has run.

Choose a component

Shortened. The full README is on GitHub.