# chatgpt-deepseek-bridge

> chatgpt-deepseek-bridge — zzzjjack-chatgpt-deepseek-bridge. Use this tool when you need to offload complex coding tasks from ChatGPT to a local agent for efficient processing, or when requiring secure and asynchronous job management for coding investigations and implementations. It solves problems of limited computational resources and security concerns by delegating tasks via a secure MCP tunnel. The tool accepts coding tasks as input and outputs completed jobs, ideal for use cases involving large-scale coding projects or sensitive data processing.

Canonical page: https://skillsregistry.net/skills/zzzjjack-chatgpt-deepseek-bridge  
JSON: https://api.skillsregistry.net/v1/skills/zzzjjack-chatgpt-deepseek-bridge

## Description

Enables ChatGPT (or any MCP client) to delegate coding tasks to a local Hermes-backed agent with async job management, supporting read-only investigation, implementation, and continuation of sessions via secure MCP tunnel.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ywc0i9r4ty)
- **Repository:** <https://github.com/zzzjjack/chatgpt-deepseek-bridge>

## 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": "zzzjjack-chatgpt-deepseek-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zzzjjack-chatgpt-deepseek-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zzzjjack-chatgpt-deepseek-bridge/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