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MCP SERVER · OFFICIAL PROJECT

Orchestrate MCP

by orchestratemcp

Get a candidate architecture for an AI workflow, composed from a documented component graph rather than invented.

Reasoning Scaffolds & Agent Workflow EnginesOfficial source
Summary
Advice with its own coverage printed next to it.

Plans come out of registry files rather than a model, and the response says which parts of your goal the graph could not match. health_check reports the registry counts, so you can judge how much is actually behind a recommendation before you act on it.

What it is

A read-only advisory server over a registry of workflow components, the documented relations between them, published routes and playbooks. Describe a goal and it composes a route through the graph, scores its confidence, and says what the graph does not cover.

What you get
  • 18 registered tools over the component registry
  • plan_workflow — a goal in, a route with steps, connections, a safety note and build controls out
  • list_graph_components and explain_component — what the building blocks are and what each one does
  • list_known_routes and get_route — the published paths through the graph
  • get_playbook — a published pattern with implementation guidance
  • get_stack_recommendation and get_relevant_docs — technology choices for a deployment context, and the reference material behind them
  • review_workflow_design — a second pass over a design you already have
  • export_build_brief — a deterministic build and test contract for an agent to work from
  • health_check — the registry counts, so you can see how much graph is behind an answer
  • Coverage accounting that reports unmatched demand instead of pretending the graph covers everything
Requirements

Node.js 20 or later and pnpm to run it over stdio, or point a client at the free hosted endpoint https://mcp.orchestratemcp.dev/mcp. It holds no secrets, makes no model calls inside its tools, and never writes.

Setup effort

One command — npx tsx src/server.ts