# openai-responses-mcp

> openai-responses-mcp — uchimanajet7-openai-responses-mcp. Use this tool when you need to generate human-like responses to user input, leveraging the OpenAI JS SDK to power a lightweight MCP server. It solves problems related to automated response generation, such as chatbots or virtual assistants, by accepting user input and producing relevant responses. Ideal for use cases where natural language processing is required, with inputs including user queries and outputs comprising generated responses.

Canonical page: https://skillsregistry.net/skills/uchimanajet7-openai-responses-mcp  
JSON: https://api.skillsregistry.net/v1/skills/uchimanajet7-openai-responses-mcp

## Description

Lightweight MCP server using OpenAI JS SDK (Responses)

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/uchimanajet7/openai-responses-mcp)

## 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": "uchimanajet7-openai-responses-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/uchimanajet7-openai-responses-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/uchimanajet7-openai-responses-mcp/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