# WorkloadTruth MCP Server

> WorkloadTruth MCP Server — rudrendupaul-workloadtruth. Use this tool when you need to classify and analyze GPU workloads, solving problems of inefficient resource allocation and performance optimization. It takes telemetry data as input and outputs classified workloads as training, inference, or idle, enabling informed decision-making. Ideal for use cases requiring workload monitoring, benchmarking, and audit log verification in GPU-intensive environments.

Canonical page: https://skillsregistry.net/skills/rudrendupaul-workloadtruth  
JSON: https://api.skillsregistry.net/v1/skills/rudrendupaul-workloadtruth

## Description

Enables classification of GPU workloads as training, inference, or idle from telemetry data, with tools for one-shot classification, benchmarking, and audit log verification.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hoh16wz9uc)
- **Repository:** <https://github.com/RudrenduPaul/WorkloadTruth>

## 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": "rudrendupaul-workloadtruth"
    }
  }
}
```

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