# Spec Workflow MCP

> Use this tool when you need to streamline project documentation and ensure consistency across requirements, design, and implementation phases. The Spec Workflow MCP provides an AI-powered workflow that takes in project requirements and generates comprehensive specifications, solving problems of outdated or incomplete documentation. It accepts project requirements as input and outputs standardized documentation, making it ideal for development teams seeking to improve collaboration and documentation quality.

Canonical page: https://skillsregistry.net/skills/kingkongshot-specs-workflow-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kingkongshot-specs-workflow-mcp

## Description

An intelligent MCP server that helps development teams maintain high-quality project documentation by providing an AI-powered workflow for creating comprehensive specifications through requirements, design, and implementation documents.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wf6pi0ag64)
- **Repository:** <https://github.com/kingkongshot/specs-workflow-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": "kingkongshot-specs-workflow-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kingkongshot-specs-workflow-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kingkongshot-specs-workflow-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
