# io.github.metrxbots/mcp-server

> Use this tool when you need to track and optimize AI agent costs, detect waste, and prove return on investment (ROI). It provides 23 tools to streamline model optimization and cost management, taking in data on agent performance and outputting actionable insights. Ideal for use cases where AI model efficiency and budgeting are critical, such as large-scale AI deployments or resource-constrained projects.

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

## Description

Track AI agent costs, detect waste, optimize models, and prove ROI. 23 MCP tools across 10 domains.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

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

## 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-metrxbots-mcp-server"
    }
  }
}
```

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

---
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