leaderra

GTM data layer for AI agents: find scored B2B leads free, reveal verified email+mobile, audit ads.

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质量与安全性

A
描述质量
87%
模式完整度
97%
命名质量
93%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~385token 数(工具定义)
~704 B典型响应大小
对注意力的影响极小(占 128k 上下文窗口的 0.30%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "leaderra": {
      "url": "https://leaderra.ai/api/mcp"
    }
  }
}

远程端点

https://leaderra.ai/api/mcpstreamable-http

它能做什么

工具清单

工具(3)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢find_leads(offer, icp, count)

Find scored, in-market B2B leads (hot-signal) for an offer + ICP. Returns a list with a fit score and a call brief, but WITHOUT contacts — call reveal_contact with a row's `ref` to get email/phone. Searching is FREE: credits are only spent on reveals.

输入模式

{
  "type": "object",
  "properties": {
    "offer": {
      "type": "string",
      "description": "What you sell, in a sentence."
    },
    "icp": {
      "type": "string",
      "description": "Who you sell to (industry, size, geo, role)."
    },
    "count": {
      "type": "number",
      "description": "How many leads (1-25, default 10)."
    }
  },
  "required": [
    "offer",
    "icp"
  ]
}
🟢reveal_contact(ref)

Reveal a verified email + mobile for a lead `ref` returned by find_leads. Spends 12 credits (email 2 + mobile 10); fully refunded if nothing verifiable is found — you are never charged on a miss.

输入模式

{
  "type": "object",
  "properties": {
    "ref": {
      "type": "string",
      "description": "The `ref` from a find_leads row."
    }
  },
  "required": [
    "ref"
  ]
}
⚪audit_ads(accountId, days, roasTarget)

Audit a connected Meta ad account (via Adspirer): scores each ad, flags wasted spend, and returns prioritized actions. Spends 5 credits. Omit accountId to audit the demo account.

输入模式

{
  "type": "object",
  "properties": {
    "accountId": {
      "type": "string",
      "description": "Adspirer ad_account_id (optional → demo)."
    },
    "days": {
      "type": "number",
      "description": "Lookback window in days (default 30)."
    },
    "roasTarget": {
      "type": "number",
      "description": "Target ROAS (default 2.5)."
    }
  },
  "required": []
}

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最近观测

已验证未记录版本3 个工具
已验证未记录版本3 个工具
已验证未记录版本3 个工具