# Any OpenAPI

> Use this tool when you need to integrate AI models with diverse OpenAPI-compliant services, as it provides a flexible and dynamic approach to connecting with multiple APIs without requiring custom code. It solves problems of complex API integration, supporting vector-based semantic search for efficient API operation discovery. With OpenAPI specifications as input, it generates tools and provides a standardized interface as output, making it ideal for rapid development of AI-powered applications that leverage external services and data sources.

Canonical page: https://skillsregistry.net/skills/baryhuang-any-openapi  
JSON: https://api.skillsregistry.net/v1/skills/baryhuang-any-openapi

## Description

This MCP server implementation, developed by Bary Huang, provides integration with any OpenAPI-compliant service. Built with Python and leveraging libraries like FastAPI, FAISS, and sentence-transformers, it offers a flexible approach to connecting AI models with diverse APIs. The implementation focuses on dynamic tool generation based on OpenAPI specifications, enabling seamless interaction with a wide range of services without requiring custom code for each integration. It supports vector-based semantic search for efficient API operation discovery, making it particularly useful for applications that need to work with multiple or frequently changing APIs. By abstracting the complexities of API integration, this server allows for rapid development of AI-powered applications that can leverage external services and data sources through a standardized interface.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/baryhuang-any-openapi)
- **Repository:** <https://github.com/baryhuang/mcp-server-any-openapi>

## 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": "baryhuang-any-openapi"
    }
  }
}
```

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