# io.github.mifactory-bot/mifactory-spec-api

> Use this tool when you need to convert documentation into structured, agent-readable specifications with defined criteria and constraints. It solves the problem of making human-readable docs accessible to AI agents, enabling automated processing and decision-making. The tool takes in documentation as input and outputs formatted specs, ideal for use cases where AI agents require precise, machine-interpretable data.

Canonical page: https://skillsregistry.net/skills/io-github-mifactory-bot-mifactory-spec-api  
JSON: https://api.skillsregistry.net/v1/skills/io-github-mifactory-bot-mifactory-spec-api

## Description

Convert docs to agent-readable specs with criteria and constraints. $0.10/convert.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.mifactory-bot%2Fmifactory-spec-api)
- **Repository:** <https://github.com/mifactory-bot/mifactory-spec-api>

## Use it

MCP endpoint published by the skill: `https://spec-api-mcp.vercel.app/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-mifactory-bot-mifactory-spec-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-mifactory-bot-mifactory-spec-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-mifactory-bot-mifactory-spec-api/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