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io.github.warpmetrics/mcp
Connect AI assistants to Warpmetrics β query runs, calls, costs, and outcomes.
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Documentation
Warpmetrics MCP Server
Connect AI assistants to your Warpmetrics AI agent telemetry via the Model Context Protocol.
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:
- Documentation: warpmetrics.com/docs/mcp
- CLI:
npx @warpmetrics/mcp --list-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
