Which integrations are available for this server?

Turns a remote Linux server into a DeepSeek Harness workspace over SSH, exposing tools to execute commands (with workdir/timeout), upload and download files via SFTP, list hosts, and browse/preview remote directories. A local placeholder workspace is bound to a remote directory so each session knows which machine and directory the agent is working in.

1. Click on "Deploy 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., "@ssh run git pull && npm install on prod in /srv/app with a 2 minute timeout" 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.

ssh

by JeremyLyc

Overview Schema Source Related Servers Discussions Admin

JavaScript

Local

dsh-plugin-ssh

GitHub stars License: MIT DeepSeek Harness

把一台远端 Linux 服务器变成 DeepSeek Harness 里的"工作区"：agent 用对话操作服务器，你在侧栏里浏览它的目录、传文件、切换工作目录。

SSH remote workspaces for DeepSeek Harness. One plugin gives you agent tools (mcp__ssh__*), a sidebar panel, a server-files tab, a workspace bound to a remote directory, and a composer pill showing where the agent is actually working.

这个插件做什么

DSH 的工作区必须是一个真实存在的本地目录，而 agent 真正要干活的是远端服务器。这个插件在两者之间架一座桥：

          ┌─────────────────────────── DSH Host 进程 ───────────────────────────┐
          │                                                                     │
  浏览器  │  lib/index.js  ── HTTP /ssh-panel/api/* ──►  lib/ssh.js  ── ssh2 ──► 服务器
 （面板） │       │                                         ▲                    │
          │       └─ 写绑定 + AGENTS.md                      │                    │
          │                                                 │                    │
          │  server.mjs（MCP stdio）── mcp__ssh__* 工具 ────┘                    │
          └─────────────────────────────────────────────────────────────────────┘

会话工具：mcp__ssh__ssh_exec / ssh_upload / ssh_download / ssh_hosts，模型直接调用。
左侧栏 SSH 远程 面板：选主机、跑命令、传文件、一键建远程工作区。
右侧栏「服务器文件」页签：浏览服务器任意目录、预览文本、切换工作目录。
远程工作区：本地占位目录 + .dsh-ssh-workspace.json 绑定 + 自动生成的 AGENTS.md，该工作区里的每个会话都确切知道"我在哪台机器、在哪个目录、用哪个工具"。
密码弹窗：主机没有预置密钥/密码时才问，密码只活在 Host 进程内存里。
输入框下方的当前目录 pill：prod:/srv/app 或本地工作区路径，切目录即时跟随。

Related MCP server: cokacremote

截图

在 DSH 里用对话操作服务器：右侧是服务器文件页签，输入框下方是状态栏

安装

前置：DSH 桌面版（profile 目录 ~/.dsh/profiles/desktop）、Node.js 20+。

# 1. 放进插件目录
git clone https://github.com/JeremyLyc/dsh-plugin-ssh ~/.dsh/plugins/dsh-plugin-ssh
cd ~/.dsh/plugins/dsh-plugin-ssh && npm install --omit=dev

# 2. 让 profile 能解析这个包
cd ~/.dsh/profiles/desktop
pnpm add "link:$HOME/.dsh/plugins/dsh-plugin-ssh" --ignore-scripts

面板部分走包自带的 bundle 补丁：把包名加进 dsh.profile.bundles（package.json 里的 dsh.bundle.patch 指向 cordis.patch.yml，它会插入 ssh-panel 条目）：

{
  "dsh": {
    "profile": {
      "bundles": ["@deepseek-ai/dsh-base", "@deepseek-ai/dsh-web-app", "dsh-plugin-ssh"]
    }
  }
}

会话工具需要一条显式条目（要绝对路径指向 server.mjs），追加到 ~/.dsh/profiles/desktop/cordis.patch.yml：

- insert:
    - id: mcp-ssh                      # 会话工具：MCP stdio 服务器
      name: "@deepseek-ai/dsh-mcp-client"
      config:
        serverName: ssh
        transport: stdio
        command: node
        args:
          - '<插件目录>/server.mjs'
        env:
          DSH_SSH_HOSTS: '<你的 ssh-hosts.json>'
        toolCallTimeoutMs: 300000
        failOnStartupError: false

保存即热加载；日志出现 ssh-panel: endpoints registered at /ssh-panel/api 就绪。客户端 bundle 改动需要刷新窗口。

配置主机

~/.dsh/ssh-hosts.json（可用 DSH_SSH_HOSTS 指定路径），会与你的 ~/.ssh/config 合并：

{
  "defaultHost": "prod",
  "hosts": {
    "prod": {
      "host": "10.0.0.10",
      "port": 22,
      "username": "deploy",
      "privateKeyPath": "~/.ssh/id_ed25519",
      "remoteRoot": "/srv/app"
    },
    "legacy": {
      "host": "10.0.0.11",
      "username": "ops",
      "password": "${LEGACY_SSH_PASSWORD}"
    }
  }
}

字段	说明
`host` / `port` / `username`	连接目标，`username` 也可写 `user`
`privateKeyPath`	私钥路径，支持 `~`；不填且没密码时回退 `id_ed25519` → `id_rsa` → `id_ecdsa`
`password` / `passphrase`	密码 / 私钥口令；支持 `${ENV}`，未设置的环境变量按"没有"处理
`hostKeySha256`	钉住主机指纹（`SHA256:...`），填了就严格校验
`strictHostKey`	`true` 时拒绝未钉住指纹的主机
`connectTimeoutMs`	连接超时，默认 10000

密码策略：配置里有密钥或密码 → 连接时不再询问；都没有 → 面板弹密码框，密码只存在 Host 进程内存（setRuntimePassword），不写任何文件，DSH 重启后重新问。

工具

工具	作用
`mcp__ssh__ssh_hosts`	列主机、默认主机、认证方式
`mcp__ssh__ssh_exec`	执行命令，返回 stdout/stderr/退出码，`workdir`/`timeoutMs` 可选
`mcp__ssh__ssh_upload`	本地文件 → 远端（SFTP，自动建父目录）
`mcp__ssh__ssh_download`	远端文件 → 本地（SFTP）

非零退出码以 [exit code: N] 返回，不算工具错误；超时会向远端发 KILL 并标 [timed out after Nms]。

HTTP 端点

全部 kind: exact，只接受本机/渲染进程请求，且拒绝来自非回环地址的调用：

方法	路径	作用
GET	`/ssh-panel/api/hosts`	主机列表与告警
POST	`/ssh-panel/api/connect`	`{host, password?}` → 验连；缺凭据回 `needsPassword`
POST	`/ssh-panel/api/exec`	执行命令
POST	`/ssh-panel/api/upload`	base64 上传
GET	`/ssh-panel/api/download`	下载（≤64 MB）
POST	`/ssh-panel/api/workspace`	建绑定目录 + `AGENTS.md`
GET	`/ssh-panel/api/binding`	读工作区绑定
POST	`/ssh-panel/api/root`	切换远端工作目录（改写绑定与 `AGENTS.md`）
GET	`/ssh-panel/api/ls`	列一层目录（目录优先）
GET	`/ssh-panel/api/read`	读文本（≤512 KB，二进制拒绝）

远程工作区是怎么"绑定"的

创建时在本地目录写两份文件，AGENTS.md 里用标记包住工作目录块：

<!-- dsh-ssh:root -->
远端工作目录：`/srv/app`。所有远端命令都以它为工作目录，`mcp__ssh__ssh_exec` 请显式传 `workdir: "/srv/app"`。
<!-- /dsh-ssh:root -->

切换目录只替换标记内的内容，不重复追加，也不动你手写的其它说明。

开发

npm install
# 需要一台已配置在 ~/.dsh/ssh-hosts.json 里的主机
DSH_SSH_TEST_HOST=prod node test/host-api.mjs
DSH_SSH_TEST_HOST=prod DSH_SSH_TEST_PASSWORD_HOST=legacy node test/host-api.mjs
node test/smoke.mjs   # MCP stdio 全链路：握手 → tools/list → 执行 → 上传下载往返

lib/client.js 是手写的浏览器 bundle（DSH 的模块格式：window.__ModuleLoader__.load({id, factory})），没有构建步骤；改完刷新窗口即可。lib/index.js 是 Host 半侧，改动会随插件条目重新加载。

安全说明

面板能执行任意命令，请把它当成 ssh 本身：只在本机使用，端点拒绝非回环来源。
密码不落盘；ssh-hosts.json 里若写密码，注意该文件的权限。
命令输出与文件内容会进入模型上下文，敏感数据请自行判断。
上传/下载上限：64 MB（下载）/ 96 MB（请求体）。

兼容性

在 DSH Desktop 0.2.1-rc.3（dsh-mcp-client、sidebar.panellist、conversation.composer.dock 等 slot 均有）上验证；依赖 ssh2、@modelcontextprotocol/sdk、zod。

License

This server cannot be deployed

Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

Maintenance

ActivityMaintained

ResponsivenessNo issues

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