leaderra

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

Should I use this

Quality & Safety

A
Description quality
87%
Schema completeness
97%
Naming quality
93%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~385Tokens (tool definitions)
~704 BTypical response size
Minimal attention impact (0.30% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

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

Remote endpoints

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

What it can do

Tool inventory

Tools (3)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢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.

Input Schema

{
  "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.

Input Schema

{
  "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.

Input Schema

{
  "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": []
}

Community

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Evidence

Recent observations

verifiedversion not recorded3 tools
verifiedversion not recorded3 tools
verifiedversion not recorded3 tools