# openapi-context-engine

> openapi-context-engine — xinthink-openapi-context-engine. Use this tool when you need to integrate AI agents with API specifications, and connect to git repositories for seamless access to code and documentation. It solves problems of API discovery, documentation, and version control by providing a hybrid search functionality. The openapi-context-engine takes API specifications and git repository inputs, and outputs connected AI agents with access to relevant code and documentation.

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

## Description

A sample MCP server that connects AI agents to API specifications using hybrid search.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

## 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": "xinthink-openapi-context-engine"
    }
  }
}
```

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