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dsh-mcp-bridge

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2026-08-15最近推送
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功能简介

精选MCP服务器包,一键安装

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我们的评价
可用 — 实测通过,早期项目

精选MCP服务器包,一键安装 实测能干净安装、正常启动。早期项目,但功能可用。

「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。

README

dsh-mcp-bridge

dsh-mcp-bridge

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license
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Curated, verified MCP server bundle for DeepSeek Harness (dsh).

One install gives your dsh agent a set of battle-tested MCP servers — not a raw YAML you have to figure out. Every curated server has a machine-readable definition in servers/, and scripts/verify-servers.mjs checks each one's connectivity, so "verified" is a CI-guaranteed claim, not marketing.

Tools appear to the model as mcp__<serverName>__<toolName> (same server-qualified shape as Claude Code / Codex). The bridge itself is DSH's built-in @deepseek-ai/dsh-mcp-client: stdio + streamable-http, auto-reconnect, HMR hot-swap.

中文文档见 README.zh.md。

Quick start

Prereqs: dsh and pnpm on PATH (dsh plugin forwards to pnpm; install with npm i -g pnpm).

dsh plugin --profile web add dsh-mcp-bridge
# local checkout:  dsh plugin --profile web add ./dsh-mcp-bridge
dsh web        # restart the profile

The demo server (MCP official everything) is enabled by default — no API key, pure local npx. After restart, ask your model to "call the everything server's echo tool with hello" and it should use mcp__everything__echo.

First run downloads the server packages via npx; subsequent runs are cached.

Curated catalog

Server What it gives you Config needed Verified
everything Demo tools: echo, add, long-running ops, tiny image none (default on) ✅ 13 tools
memory In-session knowledge graph (entities/relations) none ✅ 9 tools
filesystem File read/write/search, scoped to explicit roots root dir (edit args) ✅ 14 tools (given a real dir)
github Repos / issues / PRs GITHUB_TOKEN ⏸ needs config
playwright Browser automation (navigate/click/screenshot) first-run browser download ⏸ heavy, excluded from CI
remote-http Your own / hosted HTTP MCP server URL (+ optional token) ⏸ needs config

To enable a commented preset, uncomment its block in the profile's cordis.patch.yml (hot-reloaded via HMR) or edit cordis.patch.yml in this package.

Verify the catalog yourself

npm install          # brings @deepseek-ai/dsh-mcp-client → the MCP SDK
npm run verify       # or: node scripts/verify-servers.mjs

Prints PASS / SKIP / FAIL per server; exits non-zero on any failure. VERIFY_TIMEOUT_MS=15000 tunes the per-server timeout. Single-server troubleshooting: node scripts/probe-server.mjs npx -y your-mcp-server.

Adding your own MCP server

Each server is one @deepseek-ai/dsh-mcp-client entry. Either add it to the profile's user patch layer (recommended, HMR applies it without restart):

# $DSH_HOME/profiles/<name>/cordis.patch.yml
- id: mcp-myserver
  name: '@deepseek-ai/dsh-mcp-client'
  config:
    serverName: myserver          # namespace, unique per process ([A-Za-z0-9_-]{1,32})
    transport: stdio              # or streamable-http
    command: npx
    args: ['-y', 'your-mcp-server']
    env:
      YOUR_TOKEN: !!js process.env.YOUR_TOKEN

…or drop a definition into servers/ (so verify covers it) and add the matching entry to cordis.patch.yml here.

Config fields (from dsh-mcp-client)

Field Transports Required Meaning
transport both yes "stdio" or "streamable-http"
serverName both yes tool namespace, unique among live instances
command / args / env / cwd stdio command yes child process spec
url / headers http url yes endpoint + auth headers
toolCallTimeoutMs both no per-call timeout, default 60000
failOnStartupError both no reject activation on connect failure (default false)
reconnect.* both no auto-reconnect backoff (default on)

Linking up with Reasonix / CodeWhale

All three are agent harnesses — MCP is the shared language. Any server you run for Reasonix or CodeWhale can be added here, and a local streamable-http server you own can serve DSH, Reasonix and CodeWhale from one process. See servers/remote-http.json.

Troubleshooting (Windows)

  • Headless verification hangs (dsh --profile <name> "task"): the profile needs @deepseek-ai/dsh-headless in dsh.profile.bundles (add it manually; dsh plugin add @deepseek-ai/dsh-headless fails with 404 on its unpublished dependency). Without it the tree activates but no agent consumes the task.
  • npx is fine on Windows: the MCP SDK uses cross-spawn, which resolves .cmd shims — no npx.exe needed.
  • Server connects but no tools: check the profile logs; failOnStartupError: false means the entry activates without tools on failure.

Releasing (npm)

  1. npm version patch (or bump package.json manually), commit, tag vX.Y.Z.
  2. git push origin main --tags.
  3. GitHub Actions (publish.yml) publishes to npm — requires npm trusted publisher (OIDC) linked to the repo. Setup: npm → Access Tokens → Generate new token → Publish with GitHub Actions.

Give the repo the GitHub topic dsh-plugin so it shows up in the community lists (awesome-dsh-plugin, WhaleHub).

License

MIT — see LICENSE.

安装

🧩 让 Agent 自动装(推荐)

装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:

dsh plugin add dshbase-catalog

然后对 agent 说「帮我装 dsh-mcp-bridge」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。

该插件是 GitHub 源码(未发 npm)——直接从仓库装:

Web profile:

dsh plugin --profile web add github:Edge-Echo/dsh-mcp-bridge

Headless(CLI)profile:

dsh plugin --profile headless add github:Edge-Echo/dsh-mcp-bridge

实测报告

验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。

使用场景

给 agent 一套记忆、知识库或检索层,让它不再跨会话丢上下文。

适合谁

跑长项目、想让 agent 记住决策、文档和偏好而不用每次重讲的人。

二次开发建议

记忆/检索后端是缝——插新存储、调蒸馏策略,或加引用与审计轨迹。

安全:尚未扫描——我们的每日静态扫描将很快覆盖它。

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