Leadpipe Mcp

Name: Leadpipe Mcp
Author: enzoemir1

@enzoemir1

リポジトリ

Leadpipe Mcp について

AI-powered lead qualification engine for MCP. Ingest leads from any source,

#lead-scoring #crm #ai #sales #hubspot #pipedrive #mcp-server

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

enzoemir1

投稿者

Enes Eserkan

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "leadpipe-mcp": {
      "command": "node",
      "args": [
        "dist/index.js"
      ],
      "env": {}
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Leadpipe MCP?

Leadpipe MCP is an AI-powered lead qualification engine that works over the Model Context Protocol. It ingests leads from any source (webhooks, forms, APIs, CSV), enriches them with company data, scores them 0–100 using configurable AI rules, and exports qualified leads to a CRM. It is built for sales teams and developers who need a programmable lead pipeline.

How to use Leadpipe MCP?

Install from the MCPize Marketplace, or clone the repository, run npm ci && npm run build, and add the server to your MCP client configuration. After installation, eight MCP tools and three MCP resources become available for managing the full lead lifecycle.

Key features of Leadpipe MCP

Lead ingestion from webhooks, forms, APIs, or CSV (single or batch up to 100)
Auto-enrichment via Hunter.io or domain heuristics (industry, size, tech stack)
AI scoring engine with six weighted dimensions plus custom rules
CRM export to HubSpot, Pipedrive, CSV, or JSON
Pipeline analytics with real-time stats, score distribution, conversion rates
Configurable scoring weights, high-value titles/industries, custom rules

Use cases of Leadpipe MCP

Automatically qualify inbound leads from website forms and webhooks
Batch import and enrich leads from CSV or API for a sales campaign
Score leads in real time and export qualified ones to HubSpot or Pipedrive
Analyze pipeline performance with detailed statistics and conversion metrics

FAQ from Leadpipe MCP

How does the scoring engine work?

Leads are scored 0–100 using a weighted average of six dimensions: job title (25%), company size (20%), industry (20%), engagement (15%), recency (10%), and custom rules (10%). A score of 60 or above qualifies the lead.

Which CRM integrations are supported?

Currently HubSpot and Pipedrive are supported. CSV and JSON export are available without any configuration. Google Sheets export is on the roadmap.

What are the runtime requirements?

The server runs on Node.js. It requires API keys for HubSpot (HUBSPOT_API_KEY) or Pipedrive (PIPEDRIVE_API_KEY) if those integrations are used. Hunter.io API key (HUNTER_API_KEY) is optional for enhanced enrichment.

How do I install Leadpipe MCP?

You can install it directly from the MCPize Marketplace or build from source: git clone, npm ci, npm run build, then add the server configuration to your MCP client.

What are the pricing tiers?

Free: $0 for 50 leads/month with basic scoring and webhook intake. Pro: $20/month for 500 leads with AI scoring, enrichment, and email notifications. Business: $40/month for 5,000 leads with CRM sync, pipeline analytics, and custom rules.