pipeline-orchestrator-claude-plugin

goosefly99/pipeline-orchestrator-claude-plugin

★ 0 stars Python AI/LLM Updated today

Pipeline orchestrator MCP server - reads pipeline.toml, resolves DAG, validates artifacts, manages run state, and coordinates research/debate/synth phases

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "pipeline-orchestrato": {
      "command": "uvx",
      "args": [
        "pipeline-orchestrator-claude-plugin"
      ]
    }
  }
}

Or install with pip: pip install pipeline-orchestrator-claude-plugin

README Excerpt

Pipeline orchestrator MCP server — reads `pipeline.toml`, resolves a phase DAG, validates artifacts against JSON schemas, manages run state, and coordinates research, debate, concept-collection, and synthesis phases through a single MCP surface. `pipeline-orchestrator` is a Model Context Protocol server that turns a declarative `pipeline.toml` definition into an executable multi-phase workflow. It owns run state, enforces phase ordering via a DAG, validates every artifact produced by a phase aga

Tools (6)

pipeline_cc_get_overviewpipeline_kb_export_query_logpipeline_phase_briefpipeline_save_debatepipeline_synth_list_specspipeline_validate_run

pipeline-orchestrator-claude-plugin

Quick Install

README Excerpt

Tools (6)

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