MCP MeasureMCP Measure

索引已觀測

Botdoor

Let AI agents post to social media with human approval: schedule, first comments, threads.

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
100%
命名品質
80%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~247Token（工具定義）
~1.3 KB典型回應大小
極小的注意力影響（128k 上下文的 0.19%）

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案：

{
  "mcpServers": {
    "botdoor": {
      "url": "https://botdoor.co/api/mcp"
    }
  }
}

遠端端點

https://botdoor.co/api/mcpstreamable-http

它能做什麼

工具清單

工具（1）

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟡signup(email, workspaceName, agentName, locale)

Create a Free Botdoor workspace for your human and get an API key (asks first: every post waits for their approval). No account needed. Returns apiKey (shown once) and next steps. Botdoor emails your human a claim link; they set a password there and connect an account. If the email already has a workspace you get no key (202): your human signs in and creates one for you. Then reconnect to this MCP server with 'Authorization: Bearer <apiKey>' to get the posting tools.

輸入結構描述

{
  "type": "object",
  "properties": {
    "email": {
      "type": "string",
      "description": "Your human's email address (they own the workspace)"
    },
    "workspaceName": {
      "type": "string",
      "description": "Optional, e.g. Acme"
    },
    "agentName": {
      "type": "string",
      "description": "Optional name for your key, e.g. content-agent"
    },
    "locale": {
      "type": "string",
      "description": "Optional language of the claim email: en or ja. Default: the request's Accept-Language, else en."
    }
  },
  "required": [
    "email"
  ]
}

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證據

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