# Spec Score MCP

> Use this tool when you need to evaluate and refine software specifications to ensure they are complete, clear, and concise before implementation. It solves problems of ambiguous or incomplete specs by scoring them on key criteria and providing a balance score and verdict. The tool takes in software specifications as input and outputs a score and verdict to guide improvement.

Canonical page: https://skillsregistry.net/skills/mediazone-spec-score-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mediazone-spec-score-mcp

## Description

Scores software specifications on completeness, clarity, constraints, and specificity, providing a balance score and verdict to help improve specs before implementation.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c529ruj64q)
- **Repository:** <https://github.com/openpoem/spec-score-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": "mediazone-spec-score-mcp"
    }
  }
}
```

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