Bpmn2ai MCP Server
@kshetra-studio
基本情報
Bpmn2ai MCP Server について
概要はまだありません
Bpmn2ai MCP Server の設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"twintrack": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://bpmn2ai.kshetra.studio/mcp/",
"--header",
"X-Api-Key: YOUR_API_KEY"
]
}
}
}Bpmn2ai MCP Server のツール
8Convert 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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