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Leadpipe Mcp

Created By
Automatia BCNa month ago
AI-powered lead qualification engine for MCP. Ingest leads from any source, auto-enrich with company data, score 0-100 using 6 weighted dimensions (job title, company size, industry, engagement, recency, custom rules), and export to HubSpot, Pipedrive, Google Sheets, CSV, or JSON. 8 MCP tools, 3 resources. Free tier available.
Overview

LeadPipe MCP

AI-powered lead qualification engine for the Model Context Protocol

License: MIT TypeScript MCP

LeadPipe ingests leads from any source, enriches them with company data, scores them 0-100 using configurable AI rules, and exports qualified leads to your CRM — all through the MCP protocol.


Features

  • Lead ingestion from webhooks, forms, APIs, or CSV — single or batch (up to 100)
  • Auto-enrichment with company data: industry, size, country, tech stack (via Hunter.io or domain heuristics)
  • AI scoring engine (0-100) with 6 weighted dimensions + 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
  • 8 MCP tools + 3 MCP resources covering the full lead lifecycle

Quick Start

Install from MCPize Marketplace

  1. Search for LeadPipe MCP on mcpize.com
  2. Click Install and select your subscription tier
  3. Tools and resources are automatically available in any MCP-compatible client (Cursor, VS Code, etc.)

Build from Source

git clone https://github.com/enzoemir1/leadpipe-mcp.git
cd leadpipe-mcp
npm ci
npm run build

Add to your MCP client config:

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

Tools

lead_ingest

Add a single lead to the pipeline.

{
  "email": "jane@acme.com",
  "first_name": "Jane",
  "last_name": "Smith",
  "job_title": "VP of Engineering",
  "company_name": "Acme Corp",
  "company_domain": "acme.com",
  "source": "website_form",
  "tags": ["demo-request"]
}

lead_batch_ingest

Add 1-100 leads at once. Duplicates are automatically skipped.

{
  "leads": [
    { "email": "lead1@corp.com", "job_title": "CEO" },
    { "email": "lead2@startup.io", "job_title": "CTO" }
  ]
}

lead_enrich

Enrich a lead with company data using the email domain.

{ "lead_id": "uuid-of-lead" }

Returns: company name, industry, size, country, tech stack, LinkedIn URL.

lead_score

Calculate a qualification score (0-100). Leads scoring 60+ are marked qualified.

{ "lead_id": "uuid-of-lead" }

Returns score + detailed breakdown across all 6 dimensions.

Search and filter leads with pagination.

{
  "query": "acme",
  "status": "qualified",
  "min_score": 60,
  "limit": 20,
  "offset": 0
}

lead_export

Export leads to CRM or file format.

{
  "target": "hubspot",
  "min_score": 60
}

Targets: hubspot, pipedrive, csv, json

Google Sheets export is on the roadmap. Currently returns Sheets-ready formatted data.

pipeline_stats

Get pipeline analytics. No input required.

Returns: total leads, status/source breakdown, average score, score distribution, qualified rate, leads today/week/month.

config_scoring

View or update scoring configuration.

{
  "job_title_weight": 0.30,
  "high_value_titles": ["ceo", "cto", "vp", "founder"],
  "custom_rules": [
    {
      "field": "company_industry",
      "operator": "equals",
      "value": "fintech",
      "points": 15,
      "description": "Bonus for fintech companies"
    }
  ]
}

Resources

ResourceDescription
leads://recentThe 50 most recently added leads
leads://pipelinePipeline summary with status counts, scores, conversion rates
leads://configCurrent scoring engine configuration

Scoring Engine

Leads are scored 0-100 using a weighted average of 6 dimensions:

DimensionDefault WeightHow It Works
Job Title25%C-level/Founder: 100, VP/Director: 85, Manager: 65, Senior: 50, Junior: 15
Company Size20%Preferred sizes (11-50, 51-200, 201-500): 90, others scaled accordingly
Industry20%High-value industries (SaaS, fintech, etc.): 90, others: 40
Engagement15%Phone provided, full name, tags, source type (landing page > CSV)
Recency10%Today: 100, last week: 75, last month: 35, 3+ months: 5
Custom Rules10%User-defined rules with -50 to +50 points each

Formula: score = sum(dimension_score * weight)

Leads with score >= 60 are qualified. Below 60 are disqualified.


CRM Integration

HubSpot

Set the HUBSPOT_API_KEY environment variable with your HubSpot private app access token.

export HUBSPOT_API_KEY="pat-xxx-xxx"

Pipedrive

Set the PIPEDRIVE_API_KEY environment variable.

export PIPEDRIVE_API_KEY="xxx"

CSV / JSON

No configuration needed. Export returns data directly.


Enrichment

LeadPipe extracts the domain from the lead's email and looks up company data:

  1. Hunter.io (if HUNTER_API_KEY is set) — returns organization, industry, country, tech stack
  2. Domain heuristics — maps known domains to company data
  3. Freemail detection — gmail.com, yahoo.com, etc. are flagged (no company enrichment)

Pricing

TierPriceLeads/monthFeatures
Free$050Basic scoring, webhook intake
Pro$20/mo500AI scoring, enrichment, email notifications
Business$40/mo5,000CRM sync, pipeline analytics, custom rules

Available on the MCPize Marketplace.


Development

npm run dev        # Hot reload development
npm run build      # Production build
npm test           # Run unit tests
npm run inspect    # Open MCP Inspector

License

MIT License. See LICENSE for details.

Built by Automatia BCN.

Server Config

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