openapi-mcp-proxy

🥈Silver

The OpenAPI MCP Proxy enables operations teams to explore large OpenAPI schemas without loading entire schemas into LLM context. It connects to Claude agents and supports Python workflows.

1250Updated 1w ago

Intermediate30min to implementautomation

Saves ~180 min per use

Quick InstallView Source

git clone https://github.com/nyudenkov/openapi-mcp-proxy.git

Works with:

Claude

Overview

About This Skill

The openapi-mcp-proxy skill is an automation tool designed for exploring large OpenAPI schemas efficiently. By acting as an MCP server, it provides developers and product managers with the necessary tools to navigate complex API documentation with ease. This skill streamlines the process of understanding and interacting with APIs, making it an essential asset for teams working in API-driven environments. One of the key benefits of the openapi-mcp-proxy skill is its ability to save time during the API exploration phase. While specific time savings are not quantified, the skill's intermediate implementation difficulty means that users can expect to set it up in approximately 30 minutes. This quick setup allows teams to focus more on developing applications rather than spending excessive time deciphering API documentation, ultimately enhancing productivity. This skill is particularly valuable for developers, product managers, and AI practitioners who frequently engage with APIs. By simplifying the exploration of OpenAPI schemas, it enables these professionals to quickly understand the capabilities of various APIs and integrate them into their projects. For example, a developer can use this skill to quickly assess the endpoints and data structures of a new API, facilitating faster integration into their applications. With an intermediate complexity level, the openapi-mcp-proxy skill is suitable for those with some experience in API management and automation. It fits seamlessly into AI-first workflows by providing a structured approach to API exploration, which is crucial for leveraging AI automation and enhancing workflow automation. This skill not only improves the efficiency of API interactions but also empowers teams to innovate and deliver solutions more rapidly.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/nyudenkov/openapi-mcp-proxy

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I'm working with a [COMPANY] in the [INDUSTRY] sector. I need to explore a large OpenAPI schema for their [API_NAME] API without loading the entire schema into context. Can you help me use the OpenAPI MCP Proxy to examine specific endpoints like [ENDPOINT_PATH] and understand their request/response structures?

Example Output

```markdown# OpenAPI Schema Exploration for 'Order Management API' (v2.3.1)

## Endpoint: `/orders/{orderId}`

### Request
- **Method**: `GET`
- **Path Parameters**:
  - `orderId` (string, required): Unique identifier for the order
- **Query Parameters**:
  - `expand` (string, optional): Comma-separated list of related resources to include

### Response
- **Status Codes**:
  - `200`: Successful retrieval
  - `404`: Order not found
- **Response Body**:
  ```json
  {
    "orderId": "string",
    "status": "string",
    "createdAt": "string",
    "items": [
      {
        "productId": "string",
        "quantity": "integer"
      }
    ]
  }
  ```

## Related Endpoints
- `POST /orders` - Create new order
- `PUT /orders/{orderId}` - Update existing order
```