# ComputeGauge MCP

> Use this tool when you need to optimize AI model spending and reputation scoring. ComputeGauge MCP provides cost intelligence and real-time tracking to inform smart model selection and routing decisions, solving problems of inefficient resource allocation and suboptimal credibility assessments. It takes in model performance data and outputs optimized routing and reputation scores, ideal for use cases involving multiple LLM providers and high-stakes decision-making.

Canonical page: https://skillsregistry.net/skills/computegauge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/computegauge-mcp

## Description

Provides cost intelligence and a reputation scoring system to help AI agents optimize spending through smart model selection and local-to-cloud routing. It enables real-time cost tracking and rewards agents for making efficient, high-credibility decisions across various LLM providers.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ridqc69xtc)
- **Repository:** <https://github.com/ComputeGauge/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": "computegauge-mcp"
    }
  }
}
```

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