Minimal configuration

Add one entry per server; nothing else is required. After the harness starts, the server's tools appear in the model's tool list.

- id: mcp-github
  name: '@deepseek-ai/dsh-mcp-client'
  config:
    serverName: github
    transport: stdio
    command: npx
    args: ['-y', '@modelcontextprotocol/server-github']
    env:
      GITHUB_TOKEN: !!js process.env.GITHUB_TOKEN

- id: mcp-web
  name: '@deepseek-ai/dsh-mcp-client'
  config:
    serverName: web
    transport: streamable-http
    url: http://localhost:3000/mcp
    headers:
      Authorization: !!js '`Bearer ${process.env.MCP_TOKEN}`'

Field	Default	Meaning
`transport`	required	`stdio` or `streamable-http`
`serverName`	required	Namespace for the server's tool names; `[A-Za-z0-9_-]{1,32}`, unique inside one registration scope
`command` / `args` / `env` / `cwd`	—	stdio: executable, arguments, extra env merged over scrubbed ambient env, working directory
`url` / `headers`	—	streamable-http: endpoint URL and extra request headers
`toolCallTimeoutMs`	`60,000`	Timeout per `tools/call` invocation
`failOnStartupError`	`false`	Reject plugin activation when the initial connection or tool synchronization fails
`reconnect.enabled`	`true`	Reconnect automatically after a lost connection
`reconnect.initialDelayMs`	`500`	First reconnect delay; doubles per consecutive failed attempt
`reconnect.maxDelayMs`	`30,000`	Backoff ceiling; also the uptime after which the attempt budget resets
`reconnect.maxAttempts`	`10`	Consecutive failed attempts per outage before giving up

The generated configuration catalog is the exhaustive source for every accepted field.

After startup, the server's tools appear as mcp____ — try a prompt that uses one. If the initial connection fails, the harness still starts but no tools from that server appear, and an error is logged; set failOnStartupError: true to make a startup failure abort the harness instead.

@deepseek-ai/dsh-mcp-client

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Minimal configuration