AI-powered lead qualification engine for MCP. Ingest, enrich, score, and export leads to your CRM.
{
"mcpServers": {
"io-github-enzoemir1-leadpipe-mcp": {
"command": "<see-readme>",
"args": []
}
}
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AI-powered lead qualification engine for MCP. Ingest, enrich, score, and export leads to your CRM.
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No package registry to scan.
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License not specified.
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Commit history unknown.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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AI-powered lead qualification engine for the Model Context Protocol
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.
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"]
}
}
}
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"]
}
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" }
]
}
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.
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
}
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.
Get pipeline analytics. No input required.
Returns: total leads, status/source breakdown, average score, score distribution, qualified rate, leads today/week/month.
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"
}
]
}
| Resource | Description |
|----------|-------------|
| leads://recent | The 50 most recently added leads |
| leads://pipeline | Pipeline summary with status counts, scores, conversion rates |
| leads://config | Current scoring engine configuration |
Leads are scored 0-100 using a weighted average of 6 dimensions: