Overview

leadpipe-mcp is an MCP server that processes leads through an AI-driven qualification pipeline. It takes raw lead data, appends firmographic details, applies scoring logic, and outputs structured data to CRM systems or spreadsheets, enabling automated filtering without manual review.

Key Capabilities

Lead Ingestion: Accepts lead data in bulk via API, supporting formats like CSV or JSON from web forms, ads, or databases.
Auto-Enrichment: Pulls company data such as industry, size, revenue, and tech stack from external sources to add context.
AI Scoring: Evaluates leads on a 0-100 scale using user-defined rules, incorporating factors like fit, intent signals, and custom criteria processed by AI models.
Export Integration: Pushes qualified leads directly to HubSpot, Pipedrive, or Google Sheets, with options for custom mapping.

Use Cases

Inbound Lead Routing: A marketing team ingests form submissions, enriches with company revenue data, scores based on ICP match, and exports high-scores (>80) to HubSpot for SDR follow-up.
Ad Campaign Optimization: Process leads from LinkedIn ads, enrich with tech stack info, score on buying signals, and log all to Sheets for A/B analysis.
Sales Pipeline Automation: Developers pipe webinar registrants through ingestion, apply custom AI rules for urgency, and sync scored leads to Pipedrive deals.
Partner Lead Sharing: Qualify vendor referrals by enriching firmographics, scoring partnership fit, and exporting to CRM for prioritized outreach.

Who This Is For

Sales operations managers setting up qualification logic; marketing analysts automating enrichment for campaigns; developers building API integrations for lead funnels in tools like Zapier or custom apps. Requires API access for ingestion and configuration of scoring rules.