royenheart/dsh-plugin-mcp-support0

@royenheart/dsh-plugin-mcp-support

基于原生 @deepseek-ai/dsh-mcp-client 桥接器的轻量、无重复 DSH 封装插件,支持通过组合配置和设置驱动挂载 MCP 服务器。

AI 分析

核心用途是为 DSH 提供动态配置和挂载 MCP(Model Context Protocol)服务器的能力。适合需要将外部工具和数据源无缝接入 DSH 的高级用户。

套件
@royenheart/dsh-plugin-mcp-support
版本
0.1.0
最近更新
2026年8月16日

安裝

$npx -p @deepseek-ai/dsh dsh plugin --profile web add github:royenheart/dsh-plugin-mcp-support

@royenheart/dsh-plugin-mcp-support

A thin, non-duplicating wrapper over the native dsh MCP bridge @deepseek-ai/dsh-mcp-client. It makes MCP servers configurable through two layered sources:

  1. Composition config — the plugin entry's servers list.
  2. Persisted dsh settings — the mcp-support settings namespace.

The wrapper mounts one native mcp-client child fiber per effective server and re-syncs the mounted set whenever the settings section changes. It does not vendor or re-implement any connection, tool-discovery, or reconnect logic.

Layout

src/index.ts          # host plugin: settings registration + dynamic child mounts + status route
src/client/index.ts   # browser half: "mcp" view tab (status page)
src/core/config.ts    # pure normalize/merge helpers (no cordis imports)
src/core/status.ts    # pure status-row shaping helper
tests/                # node:test suite using a real cordis Context
lib/                  # built host + client entries (npm run build)

Web status view

The client half registers an mcp tab in the session header's view-tab row, immediately to the right of the 轨迹 (trajectory) tab and before any later tabs such as 技能. Selecting it fetches /plugins/@royenheart/dsh-plugin-mcp-support/status and shows each effective MCP server with its transport, mounted state, and the last mount error when present. No servers configured renders "No MCP servers configured."

Install into a profile

lib/ is generated locally and is not committed. install.py always builds the repository's own toolchain first (npm install when the toolchain is missing, then npm run build) and only reports an error when npm itself is missing.

Install/uninstall idempotently with the bundled script (stdlib-only Python). The package ships its own cordis.patch.yml (id mcp-support) and declares dsh.bundle.patch, so the script only links the package into the profile node_modules, adds the link: dependency, and appends the package to dsh.profile.bundles. The profile's own cordis.patch.yml is never modified:

python3 install.py install --profile web          # install
python3 install.py uninstall --profile web        # remove
python3 install.py install --profile web --home "$DSH_HOME"   # explicit home

Manual alternative:

dsh plugin --profile 
 add link:/home/royenheart/projects/dsh-plugins/dsh-plugin-mcp-support

dsh plugin reconciles dsh.profile.bundles from the installed package's dsh.bundle declaration, so no profile patch edit is needed either.

Restart dsh. The plugin declares inject: ['settings', 'tools'], so it loads once both the dsh settings service and the native tool registry are available.

Composition config example

Configure the bundle-inserted row by id in the profile's own cordis.patch.yml (the bundle patch already inserts the row; this patch only overrides its config):

- id: mcp-support
  config:
    servers:
      - transport: stdio
        serverName: filesystem
        command: npx
        args:
          - -y
          - '@modelcontextprotocol/server-filesystem'
          - /tmp
        env: {}
        cwd: ''
        toolCallTimeoutMs: 60000
        failOnStartupError: false

      - transport: streamable-http
        serverName: everything
        url: http://localhost:3000/mcp
        headers:
          Authorization: Bearer secret
        toolCallTimeoutMs: 60000
        failOnStartupError: false

Settings example

Persisted settings are layered over the composition list. Servers are keyed by serverName: a settings server with the same name overrides the composition entry; settings-only servers are appended after composition servers.

The namespace is mcp-support. (If settings.yaml still carries the key from an earlier misspelled build, rename that key to mcp-support once.)

In the profile's settings document (settings.yaml):

mcp-support:
  servers:
    - transport: stdio
      serverName: filesystem
      command: npx
      args:
        - -y
        - '@modelcontextprotocol/server-filesystem'
        - /tmp

    - transport: streamable-http
      serverName: everything
      url: http://localhost:3000/mcp
      headers:
        Authorization: Bearer secret

Config reference

Each servers entry is exactly the native @deepseek-ai/dsh-mcp-client config union.

stdio

FieldRequiredDefaultNotes
transportyesstdio
serverNameyes[A-Za-z0-9_-]{1,32}, unique per source list
commandyesexecutable to spawn
argsno[]passed without shell interpolation
envno{}merged over the scrubbed ambient env
cwdno''child working directory
toolCallTimeoutMsno60000per-tool-call timeout
failOnStartupErrornofalsereject plugin activation on initial connection failure
reconnectnonative defaultsenabled, initialDelayMs, maxDelayMs, maxAttempts

streamable-http

FieldRequiredDefaultNotes
transportyesstreamable-http
serverNameyes[A-Za-z0-9_-]{1,32}, unique per source list
urlyesMCP endpoint URL
headersno{}extra request headers
toolCallTimeoutMsno60000per-tool-call timeout
failOnStartupErrornofalsereject plugin activation on initial connection failure
reconnectnonative defaultsenabled, initialDelayMs, maxDelayMs, maxAttempts

Develop

npm run typecheck
npm run build
npm test