dsh-plugin-zai-mcp

Bridges the four z.ai GLM Coding Plan MCP servers into DeepSeek Harness via the in-box @deepseek-ai/dsh-mcp-client: vision (GLM-4.6V stdio via npx @z_ai/mcp-server), web reader, web search prime, and zread repo MCP (streamable-http at open.bigmodel.cn)

AI 분석

核心用于为 DeepSeek Harness 引入 GLM 相关的 MCP 扩展能力。适合需要利用 GLM-4.6V 视觉、网页检索及代码库分析等增强功能的开发者，支持零配置开箱即用。

패키지

dsh-plugin-zai-mcp

버전

0.2.1

라이선스

MIT

최근 업데이트

2026. 8. 18.

Configuration

Zero-config by default. To customize, give the entry a config:

- insert:
    - id: dsh-plugin-zai-mcp
      name: dsh-plugin-zai-mcp
      config:
        mode: ZHIPU                  # ZHIPU | ZAI
        keyWaitMs: 5000
        vision:
          enabled: true
          quiet: true
          command: npx               # override for an absolute npx.cmd path
          args: ['-y', '@z_ai/mcp-server@latest']
          toolCallTimeoutMs: 60000
        webReader: { enabled: true }
        webSearch: { enabled: false }
        zread: { enabled: true }
        apiKeyEnvNames: [Z_AI_API_KEY, ZAI_CODING_CN_API_KEY]

field	default	meaning
`apiKey`	`''`	hard-coded key
`apiKeyEnvNames`	`[Z_AI_API_KEY, ZAI_CODING_CN_API_KEY]`	names probed, in order
`mode`	`ZHIPU`	vision child platform: `ZHIPU` = bigmodel.cn, `ZAI` = z.ai international
`keyWaitMs`	`5000`	startup wait for the credentials provider — DSH mounts plugins concurrently and it may commit slightly later
`vision.quiet`	`true`	silence the child's stderr via the wrapper
`.enabled`	`true`	per-server kill switch
`.url`	official endpoint	endpoint override
`.toolCallTimeoutMs`	`60000`	per-tool-call timeout

dsh-plugin-zai-mcp

AI 분석

설치

문서

Configuration