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Bpmn2ai

@kshetra-studio

About Bpmn2ai

No overview available yet

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "twintrack": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://bpmn2ai.kshetra.studio/mcp/",
        "--header",
        "X-Api-Key: YOUR_API_KEY"
      ]
    }
  }
}

Tools

8

Convert BPMN 2.0 XML to APMN YAML. Maps each BPMN node to the best-fit APMN type using element type, name keywords, and graph context. Returns APMN YAML + per-node confidence scores, plus a modeler_url to see the diagram in standard APMN notation (no Import-button clicking needed). Costs 1 conversion credit.

Compile APMN YAML to Orkes Conductor JSON, LangGraph Python, Google ADK Python, or Camunda 8 BPMN. Costs 1 conversion credit.

Deep guidance on whether a node should be upgraded to a different APMN type. Use for any node flagged medium or review confidence by migrate_bpmn. Free.

Holistic best-practice review of a complete APMN model. Checks for missing confidence gates, unconnected escape gates, timeout omissions, etc. Free.

Return spec, usage guidance, and platform mappings for an APMN node type. Use node_type="all" to list every available type. Free.

List the bundled demo BPMN files available for testing TwinTrack. Free.

Reverse-compile a LangGraph project from a GitHub repo URL into APMN diagrams. Costs 1 credit. Returns one APMN diagram + modeler link per graph declared in langgraph.json. Resolves imports across files for accurate node classification. Works on any public GitHub repo without a token. For private repos, pass a GitHub PAT with repo read scope as `token`.

Reverse-compile a LangGraph Python source file into an APMN diagram — no execution required. Paste your agent.py; get back a visual process map and a shareable modeler link. Free tool (no credit consumed).

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