# perplexity-server

> Use this tool when you need to manage and analyze complex data sets or machine learning models, as it provides a server-based solution for calculating perplexity and evaluating model performance. It solves problems related to model optimization, data quality assessment, and comparative analysis, accepting inputs such as model parameters and data sets, and outputting metrics like perplexity scores. Ideal for use in natural language processing, speech recognition, and information retrieval contexts.

Canonical page: https://skillsregistry.net/skills/youssefkobi-perplexity-server  
JSON: https://api.skillsregistry.net/v1/skills/youssefkobi-perplexity-server

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/youssefkobi/perplexity-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": "youssefkobi-perplexity-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/youssefkobi-perplexity-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/youssefkobi-perplexity-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