Which integrations are available for this server?

Allows ChatGPT to drive DeepSeek Harness (DSH) through MCP tools for task submission, status tracking, result retrieval, revision, approval, and session management.

How do I use gpt-dsh-bridge?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@gpt-dsh-bridge Submit a task to deploy the new model version" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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gpt-dsh-bridge

by baochaofan0404

Overview Schema Source Related Servers Score Discussions Admin

TypeScript

Local

GPT↔DSH Bridge

A bridge for ChatGPT web to drive DeepSeek Harness (DSH) for automated task execution.
GPT is the commander, DSH is the executor. An MCP protocol links them together.

English · 中文 | MIT License

Quick Start

git clone https://github.com/baochaofan0404/gpt-dsh-bridge.git
cd gpt-dsh-bridge
pnpm install
pnpm build
pnpm start

Then connect to the exposed https://<tunnel>/mcp endpoint via ChatGPT Developer Mode (Connectors → Add MCP), and you can use tools like dsh_task_submit in the conversation to drive DSH to execute tasks.

Related MCP server: dsh-chatgpt-bridge

Architecture

┌─────────────────┐     HTTPS MCP       ┌──────────────────────────┐     ACP      ┌──────────┐
│  ChatGPT Web    │ ─────────────────►  │  Bridge Orchestrator      │ ───────────► │  DSH     │
│  (MCP Host)     │                     │  (Node · Windows/WSL)     │   stdio RPC  │ (WSL)    │
└─────────────────┘                     │                           │              └──────────┘
     ▲                                   │  · 13 MCP 工具            │
     │ 结果回投（模型自然写入对话）         │  · 任务状态机             │
     │                                   │  · conversation↔session   │
     └───────────────────────────────────┘    映射 + 持久化           │

Core Design Principles:

DSH stays untouched: reuse the existing ACP server, zero intrusion
Bridge is a thin layer: only task orchestration, state management, and protocol adaptation
ChatGPT side connects via native Developer Mode MCP (channel verified at E:\mcpgpt)

MCP Tool Contract (currently 13)

工具	用途
`dsh_task_submit`	Submit a new task, returns taskId
`dsh_task_status`	Query task status
`dsh_task_result`	Get the final task result
`dsh_task_cancel`	Cancel a running task
`dsh_task_revise`	Revise based on current results and re-execute
`dsh_task_approve`	Manually approve HUMAN_REQUIRED tasks
`dsh_task_review`	Manually review task results
`dsh_task_list`	List all tasks under a project
`dsh_project_create`	Create/switch workspace project
`dsh_project_status`	View project status
`dsh_session_list`	List DSH sessions
`dsh_session_archive`	Archive completed sessions
`dsh_session_rotate`	Rotate DSH session (when context is too long)

Task State Machine

CREATED → SUBMITTED → RUNNING → SUCCESS → COMPLETED
                           ↘ FAILED
                           ↘ TIMEOUT
                           ↘ CRASHED
                           ↘ CANCELLED
                           ↘ HUMAN_REQUIRED → (approve) → RUNNING
                                            → (reject) → CANCELLED

See designs/state-machine.md for the complete state machine definition.

Directory Structure

gpt-dsh-bridge/
├── src/
│   ├── mcp/           # MCP server + 13 个工具实现
│   ├── task/          # TaskManager + TaskStore（SQLite）
│   ├── workspace/     # 项目/工作区管理
│   ├── errors.ts      # BridgeError + error codes
│   └── config.ts      # 配置加载
├── designs/           # 架构设计文档
├── docs/              # 用户文档
├── scripts/           # 启动/隧道脚本
└── recon/             # 侦察报告（原始研究材料）

Dependencies

Node.js ≥ 22
DeepSeek Harness (DSH) installed and running (pnpm dsh --profile web)
OpenAI MCP Tunnel or cloudflared (HTTPS tunnel)
ChatGPT Developer Mode (Pro/Plus/Enterprise)

License

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

No tool schema history has been recorded yet.

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