leaderra
GTM data layer for AI agents: find scored B2B leads free, reveal verified email+mobile, audit ads.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
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": {
"leaderra": {
"url": "https://leaderra.ai/api/mcp"
}
}
}遠端端點
https://leaderra.ai/api/mcpstreamable-http它能做什麼
工具清單
工具（3）
🟢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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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": []
}社群
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