Process Mining MCP Server

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Call get_basic_stats() first to understand overall process state\n2. Call analyze_performance({\"bottleneck_threshold\": 1.5, \"percentage_of_cases\": 1.0}) to identify bottlenecks\n3. Combine results from both analyses into comprehensive assessment\n\nESCALATION CRITERIA:\nFrom get_basic_stats:\n- Average case duration > 72 hours\n- High time variance (std > 50% of mean)\n- Anomalies in case numbers\n\nFrom analyze_performance:\n- Bottlenecks in critical activities\n- Long waiting times\n- Activities exceeding threshold\n\nRESPONSE in JSON:\n{\n \"analysis_performed\": [\"get_basic_stats\", \"analyze_performance\"],\n \"basic_stats_results\": {\n \"avg_case_duration_hours\": number,\n \"total_cases\": number,\n \"process_health\": \"good|concerning|critical\"\n },\n \"performance_results\": {\n \"bottlenecks_found\": number,\n \"critical_activities\": [\"list of activities\"],\n \"max_activity_duration\": number\n },\n \"combined_assessment\": {\n \"overall_status\": \"healthy|at_risk|critical\",\n \"primary_concerns\": [\"list of main issues\"],\n \"impact_level\": \"low|medium|high|critical\"\n },\n \"requires_jira_ticket\": boolean,\n \"ticket_details\": {\n \"priority\": \"Medium|High|Critical\",\n \"title\": \"Process Performance Alert - [main issue]\",\n \"description\": \"Detailed description based on both analyses\",\n \"affected_metrics\": {\n \"avg_duration\": \"from basic_stats\",\n \"bottleneck_activities\": \"from performance\",\n \"cases_affected\": \"estimate\"\n },\n \"recommended_actions\": [\n \"specific actions based on identified problems\"\n ]\n },\n \"reasoning\": \"justification of decision based on results from both tools\"\n}\n\nREMEMBER: Use exact parameter format shown above!\n- get_basic_stats()\n- analyze_performance({\"bottleneck_threshold\": 1.5, \"percentage_of_cases\": 1.0})\n\nCRITICAL OUTPUT FORMAT:\n- Return ONLY valid JSON without any markdown formatting\n- NO ```json``` code blocks\n- NO backticks\n- NO additional text\n- Just pure JSON object starting with { and ending with }\n\nEXAMPLE CORRECT OUTPUT:\n{\"analysis_performed\": [\"get_basic_stats\"], \"requires_jira_ticket\": true, \"ticket_details\": {\"title\": \"Alert\"}}\n\nWRONG OUTPUT FORMATS (DO NOT USE):\n```json\n{\"analysis_performed\": [\"get_basic_stats\"]}" } }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 2, "position": [ 240, 0 ], "id": "2b520e46-9a04-4987-98cc-6feaea5a9a8a", "name": "Process Mining Agent" }, { "parameters": { "sseEndpoint": "http://127.0.0.1:8000/sse ", "include": "selected", "includeTools": [ "analyze_performance", "get_basic_stats" ] }, "type": "@n8n/n8n-nodes-langchain.mcpClientTool", "typeVersion": 1, "position": [ 380, 200 ], "id": "230b79c6-0774-4148-932b-69ebf0f01793", "name": "MCP Client MCP4PM" }, { "parameters": { "sseEndpoint": "http://127.0.0.1:8001/sse ", "include": "selected" }, "type": "@n8n/n8n-nodes-langchain.mcpClientTool", "typeVersion": 1, "position": [ 1040, 120 ], "id": "665150e8-dff9-4f44-9f59-78de8243946b", "name": "MCP Client JIRA" } ], "pinData": {}, "connections": { "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Process Mining Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Simple Memory": { "ai_memory": [ [ { "node": "Process Mining Agent", "type": "ai_memory", "index": 0 } ] ] }, "Schedule Trigger": { "main": [ [ { "node": "Process Mining Agent", "type": "main", "index": 0 } ] ] }, "If": { "main": [ [ { "node": "JIRA Agent", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model1": { "ai_languageModel": [ [ { "node": "JIRA Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Simple Memory1": { "ai_memory": [ [ { "node": "JIRA Agent", "type": "ai_memory", "index": 0 } ] ] }, "Process Mining Agent": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] }, "MCP Client MCP4PM": { "ai_tool": [ [ { "node": "Process Mining Agent", "type": "ai_tool", "index": 0 } ] ] }, "MCP Client JIRA": { "ai_tool": [ [ { "node": "JIRA Agent", "type": "ai_tool", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1" }, "versionId": "2151214d-8d02-4050-b421-28a00fd82b14", "meta": { "templateCredsSetupCompleted": true, "instanceId": "02437dbb075989ddac3de785d4b31427d831b9026118009e198b20783ea3ab94" }, "id": "V9SVmSfpohW7X1Bq", "tags": [] }