# OpenAI MCP

> Use this tool when you need to integrate large language models into your application, requiring a reliable and high-performance bridge between AI assistants and models. It solves problems related to prompt management, response caching, and error handling, while providing features like token usage tracking and metrics integration. Ideal for use cases demanding customizable prompt templating and efficient access to OpenAI and Anthropic models.

Canonical page: https://skillsregistry.net/skills/arthurcolle-openai  
JSON: https://api.skillsregistry.net/v1/skills/arthurcolle-openai

## Description

This OpenAI-compatible MCP server implementation provides a bridge between AI assistants and large language models, supporting both OpenAI and Anthropic models. It features a robust architecture with prompt templating, streaming responses, efficient caching, and comprehensive error handling. The server exposes endpoints for health checks, context generation, and prompt management, while also offering advanced features like token usage tracking and Prometheus metrics integration. Ideal for applications requiring reliable, high-performance access to LLMs with the flexibility to customize prompts and manage response caching.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/arthurcolle-openai)
- **Repository:** <https://github.com/arthurcolle/openai-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": "arthurcolle-openai"
    }
  }
}
```

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