# MCP Server with Docker

> Use this tool when you need to integrate Model Control Protocol with OpenAI's API, enabling access to dockerized tools and services. It solves problems of compatibility and accessibility between OpenAI models and MCP-exposed tools, providing a seamless interface for inputs and outputs. Ideal for use cases requiring automated model control and tool utilization in a containerized environment.

Canonical page: https://skillsregistry.net/skills/tomasrodriguez2002-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tomasrodriguez2002-mcp

## Description

A project that integrates Model Control Protocol with OpenAI's API, allowing OpenAI to access and utilize tools exposed by a dockerized MCP server.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yu6qfxkcxv)
- **Repository:** <https://github.com/TomasRodriguez2002/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": "tomasrodriguez2002-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tomasrodriguez2002-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tomasrodriguez2002-mcp/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