Warpmetrics MCP Server

Warpmetrics MCP Server

Connects AI assistants to Warpmetrics telemetry data to monitor AI agent performance, execution runs, and LLM costs. It allows users to query success rates, latency, and spend metrics directly through natural language interfaces.

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Warpmetrics MCP Server

Connect AI assistants to your Warpmetrics AI agent telemetry via the Model Context Protocol.

MCP Registry npm

Installation

npm install -g @warpmetrics/mcp

Setup

1. Get your API key

Create an API key at warpmetrics.com/app/api-keys

2. Configure Claude Desktop

Add to your ~/.claude/claude_desktop_config.json:

{
  "mcpServers": {
    "warpmetrics": {
      "command": "warpmetrics-mcp",
      "env": {
        "WARPMETRICS_API_KEY": "wm_live_your_api_key_here"
      }
    }
  }
}

3. Restart Claude Desktop

The Warpmetrics tools will now be available.

Available Tools

Tools are loaded dynamically from the Warpmetrics API and stay automatically in sync.

View all available tools:

Example Prompts

Runs & Calls

  • "How many runs did I have today?"
  • "Show me the most expensive calls"
  • "List recent failed runs"
  • "Show details for run wm_run_01abc123"

Costs & Performance

  • "What's my total LLM spend this week?"
  • "What's the average latency for my code-review agent?"
  • "Show me cost trends for the last 7 days"

Outcomes & Success Rates

  • "What's the success rate for my code-review agent?"
  • "Show me outcome statistics"
  • "List all outcome classifications"

Environment Variables

Variable Required Description
WARPMETRICS_API_KEY Yes Your Warpmetrics API key
WARPMETRICS_API_URL No API URL (default: https://api.warpmetrics.com)

Development

git clone https://github.com/warpmetrics/mcp.git
cd mcp
npm install

# Run locally
WARPMETRICS_API_KEY=wm_live_... node src/index.js

License

MIT

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