claude

volante

Multi-model orchestration: plan a task DAG, then route each task to the best predicted fit from configured metadata/evidence after hard-capability filtering. Bundles the Volante MCP server (volante_run) plus a /volante:run command.

1 on GitHubby ribato22v0.9.0MITupdated 1 month ago
/

Plugin volante from marketplace volante in ribato22/volante. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (1)

  • orchestrate

    Delegate a LARGE, multi-part goal to Volante's cross-model orchestration engine via the volante_run MCP tool. Use ONLY when the request genuinely decomposes into several sub-tasks that benefit from routing across different models (e.g. "research X, draft Y, then produce Z"). Do NOT use it for simple

Slash commands (1)

  • /volante:run

    Orchestrate a goal with Volante (plan → route → run → synthesize)

MCP servers (1)

  • volante

    runs: uvx --from volante[mcp]==0.9.0 volante-mcp

View source on GitHub pypi.org

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