# openapi-context

> openapi-context — djankies-openapi-context. Use this tool when you need to parse OpenAPI specifications without cluttering your context windows, providing a clean and dedicated environment to analyze and understand your API definitions. It takes OpenAPI specs as input and outputs parsed data, utilizing Docker to power an MCP server. Ideal for use cases involving API development, testing, and documentation, especially when working with git version control systems.

Canonical page: https://skillsregistry.net/skills/djankies-openapi-context  
JSON: https://api.skillsregistry.net/v1/skills/djankies-openapi-context

## Description

Docker-powered MCP server to parse your OpenAPI specs without polluting context windows.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/djankies/openapi-context)

## 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": "djankies-openapi-context"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/djankies-openapi-context` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/djankies-openapi-context/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