# io.github.warpmetrics/mcp

> Use this tool when you need to integrate AI assistants with Warpmetrics, enabling queries on runs, calls, costs, and outcomes to optimize performance and costs. It solves problems related to monitoring and analyzing AI model execution, providing insights through a straightforward interface. This tool is ideal for use cases requiring real-time metrics and cost tracking for AI model deployments.

Canonical page: https://skillsregistry.net/skills/io-github-warpmetrics-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-warpmetrics-mcp

## Description

Connect AI assistants to Warpmetrics — query runs, calls, costs, and outcomes.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.0.7
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.warpmetrics%2Fmcp)
- **Repository:** <https://github.com/warpmetrics/mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-warpmetrics-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-warpmetrics-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-warpmetrics-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt