MCP Server

Ask your AI about production incidents

Use natural language to query incidents, run analysis, and get fix suggestions directly in Cursor, Kiro, or any MCP-compatible IDE.

Whawit MCP Server natural language chat showing incident detection
8 tools, 7 resources
Natural Language Queries
👤

"Do we have any errors on OMS in the last 24 hours with the orders?"

🚨 Open Incident Detected

There's a HIGH severity incident currently open for the oms-core service: Event processing pipeline queue is FULL...

8 Powerful Tools at Your Command

Your AI assistant can use these tools to query incidents, analyze issues, and suggest fixes.

whawit_context_search

Search across your project context to find relevant logs, errors, and patterns.

whawit_devops_analysis

Run comprehensive DevOps analysis on your infrastructure and services.

whawit_project_info

Get detailed information about a specific project including status and config.

whawit_list_projects

List all available projects in your Whawit workspace.

whawit_get_analysis_full

Retrieve the complete analysis with all details, insights, and recommendations.

whawit_get_incident_full

Get full incident details including severity, timeline, and affected services.

whawit_generate_fix_prompt

Generate AI-powered fix suggestions based on the incident analysis.

whawit_codebase_analysis_prompt

Analyze your codebase for potential issues related to incidents.

MCP Server tools panel in Cursor Settings

Easy Setup in Any MCP-Compatible IDE

Add Whawit to your IDE's MCP configuration and unlock the full power of AI-assisted incident management.

Cursor
Cursor— Full MCP support with native integration
Kiro
Kiro— AWS-powered IDE with MCP capabilities
VS Code
VS Code— With MCP extension enabled
Windsurf
Windsurf— Codeium IDE with MCP support
Antigravity
Antigravity— Google AI-powered IDE
INTERACTIVE DEMO

See MCP in Action

Watch how to investigate incidents using natural language queries in your IDE

Ready to supercharge your AI?

Connect Whawit to your AI-powered IDE and start querying incidents in natural language.

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