Rover MCP Server

#!/usr/bin/env python3 """ Rover-JIRA Integration Demo Shows how to connect group members to their JIRA project involvement """ def demo_integration(): """Demonstrate the integration with real data we retrieved.""" print("🚀 ROVER-JIRA INTEGRATION DEMONSTRATION") print("=" * 50) # Real data from rover group group_data = { "name": "sp-ai-support-chatbot-admins", "description": "SP AI Support Chatbot workgroup admins", "members": [ "jcasey", "mboy", "ggeorgie", "jmicanek", "wrampazz", "falrayes", "mfoganho", "alvalent", "rrajashe", "jpolonip", "dhshah" ] } # Real JIRA data for dhshah dhshah_jira_data = { "projects": ["CCITDART", "QEMETRICS", "SCTQE", "CNV"], "issues": [ { "key": "CCITDART-1096", "project": "CCITDART", "summary": "TFA-C/R URL switch to new STC TFA backend", "role": "assignee/lead" }, { "key": "QEMETRICS-2028", "project": "QEMETRICS", "summary": "Improve TFA apps availability", "role": "technical lead" }, { "key": "SCTQE-4889", "project": "SCTQE", "summary": "Update the TFA urls in rhsm-integration pipelines", "role": "communication lead" }, { "key": "CNV-37055", "project": "CNV", "summary": "Fix old TFA url in tfaconn file for Report Portal", "role": "technical consultant" } ] } print(f"🏢 Group: {group_data['name']}") print(f"👥 Total Members: {len(group_data['members'])}") print(f"📝 Description: {group_data['description']}") print(f"\n📊 SAMPLE ANALYSIS - Member: dhshah") print("-" * 40) print(f"🎫 Total Issues Found: {len(dhshah_jira_data['issues'])}") print(f"📂 Projects Involved: {', '.join(dhshah_jira_data['projects'])}") print(f"\n📋 DETAILED ISSUES:") for issue in dhshah_jira_data['issues']: print(f" • {issue['key']} ({issue['project']})") print(f" Summary: {issue['summary']}") print(f" Role: {issue['role']}") print() print(f"🎯 KEY INSIGHTS:") print(f" • dhshah is heavily involved in TFA (Test Failure Analysis) work") print(f" • Active across Data Science, QE, and Infrastructure projects") print(f" • Technical lead for TFA service deployments and integrations") print(f" • Coordinates between multiple teams for TFA URL migrations") print(f"\n💡 INTEGRATION VALUE:") print(f" ✅ Quickly identify subject matter experts") print(f" ✅ Understand cross-project dependencies") print(f" ✅ Map organizational knowledge and expertise") print(f" ✅ Find the right person for specific technical areas") def usage_examples(): """Show how to use this integration in practice.""" print(f"\n🛠️ HOW TO USE THIS INTEGRATION:") print("=" * 40) print(f"1. 📋 Find JIRA experts in a group:") print(f" rover_group('sp-ai-support-chatbot') → get members") print(f" For each member → search_jira_issues(member_name)") print(f" Result: Map of who works on what projects") print(f"\n2. 🔍 Find the right person for a project:") print(f" search_jira_issues(project='QEMETRICS') → get contributors") print(f" Cross-reference with rover groups → find team contacts") print(f" Result: Direct contact for project questions") print(f"\n3. 📈 Analyze team workload distribution:") print(f" rover_group('team-name') → get all members") print(f" Aggregate JIRA issues per member → workload analysis") print(f" Result: Balanced team assignment insights") print(f"\n4. 🎯 Skills and expertise mapping:") print(f" rover_group('sp-ai-support-chatbot-admins') → get admins") print(f" Map each admin to their JIRA project involvement") print(f" Result: Skills matrix for the team") if __name__ == "__main__": demo_integration() usage_examples() print(f"\n🚀 Ready to implement? Use the MCP tools:") print(f" • mcp_rover_rover_group(group_name)") print(f" • mcp_jira-mcp-snowflake_list_jira_issues(search_text=member_name)") print(f"\n Both tools are working and available in your Cursor environment!")