# Local-Workspace-MCP-OpenAI-to-local-files-

> Local-Workspace-MCP-OpenAI-to-local-files- — tarekwasfy01-local-workspace-mcp-openai-to-local-files. Use this tool when you need to securely manage and synchronize local files with OpenAI services, leveraging a one-file Windows MCP workspace server with encrypted credentials and GUI controls. It solves problems related to secure data transfer and version control, particularly in environments requiring git integration. Ideal for use cases involving local development and testing with OpenAI services, providing a seamless and secure connection.

Canonical page: https://skillsregistry.net/skills/tarekwasfy01-local-workspace-mcp-openai-to-local-files  
JSON: https://api.skillsregistry.net/v1/skills/tarekwasfy01-local-workspace-mcp-openai-to-local-files

## Description

One-file Windows MCP workspace server with Secure MCP Tunnel integration, encrypted credentials, GUI controls, and automatic tunnel startup.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/tarekwasfy01/Local-Workspace-MCP-OpenAI-to-local-files-)

## 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": "tarekwasfy01-local-workspace-mcp-openai-to-local-files"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tarekwasfy01-local-workspace-mcp-openai-to-local-files` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tarekwasfy01-local-workspace-mcp-openai-to-local-files/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