# io.github.OnChainAIIntel/pqs-mcp-server

> Use this tool when you need to evaluate and improve the quality of input prompts for AI models, scoring them across 8 key dimensions before they are processed. This pre-flight check helps prevent poor-quality prompts from affecting model performance, solving issues related to data quality and model reliability. It takes in prompts as input and outputs a quality score, making it ideal for applications where precise and relevant input data is crucial.

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

## Description

Score prompt quality across 8 dimensions before they reach a model. Pre-flight, not post-hoc.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.7
- **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.OnChainAIIntel%2Fpqs-mcp-server)
- **Repository:** <https://github.com/OnChainAIIntel/pqs-mcp-server>

## Use it

MCP endpoint published by the skill: `https://promptqualityscore.com/api/mcp`

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-onchainaiintel-pqs-mcp-server"
    }
  }
}
```

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