Schema | secretary-mcp

secretary-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`LLM_MODEL`	No	模型名称，默认 glm-4.5-flash	glm-4.5-flash
`LLM_API_KEY`	Yes	子 Agent 用的便宜模型 API Key
`LLM_BASE_URL`	No	OpenAI 兼容端点，默认智谱 https://open.bigmodel.cn/api/paas/v4（DashScope/DeepSeek/OpenAI 均可）	https://open.bigmodel.cn/api/paas/v4
`TAVILY_API_KEY`	No	搜索供应商；不配则回退 DuckDuckGo HTML（无密钥但可能被限流）
`SUBAGENT_MAX_TURNS`	No	子 Agent 最大轮次，默认 10	10
`SECRETARY_MEMORY_DIR`	No	记忆库目录，默认 ./memory	./memory

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
ask_memoryA	问自己的长期记忆库（本地 markdown 文件）。用于回忆此前记住的偏好、事实、笔记、结论。返回检索整理后的答案；记忆库为空或无匹配时也会如实说明。
ask_webA	联网查资料。内部子 Agent 会多轮搜索、打开网页、交叉核对后给出凝练结论（带来源链接）。适合'查一下某库最新版本/某事实/某价格'这类会吃掉大量上下文的调研。
delegateA	把一件多步骤杂活整体交办给子 Agent。子 Agent 可联网搜索、抓网页、读写记忆库，自主多轮操作后交回最终成果。适合调研汇总、整理资料、把结论存入记忆等。任务描述要自包含。

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Ellen-11/secretary-mcp'

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