Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Warpmetrics MCP ServerWhat is my total LLM spend for the last 7 days?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Warpmetrics MCP Server
Connect AI assistants to your Warpmetrics AI agent telemetry via the Model Context Protocol.
Installation
npm install -g @warpmetrics/mcpSetup
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 |
| Yes | Your Warpmetrics API key |
| 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.jsLicense
MIT
Resources
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If you are the server author, to access and configure the admin panel.