# SpecLinter MCP

> Use this tool when you need to convert natural language specifications into actionable development tasks and validate implementations against original requirements. It solves problems of ambiguous specifications, duplicate work, and ensures quality implementations through automated grading and test scenario generation. The tool takes in natural language inputs and outputs structured tasks, quality grades, and Gherkin test scenarios.

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

## Description

An AI-powered tool that transforms natural language specifications into structured, actionable development tasks with quality grading and Gherkin test scenarios. It also features semantic similarity detection to prevent duplicate work and validates implementations against original requirements.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nthjmfm8rh)
- **Repository:** <https://github.com/orangebread/speclinter-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": "orangebread-speclinter-mcp"
    }
  }
}
```

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