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Aleksey-Panf/b2b-enrichment-mcp

by Various

Unified MCP server combining Hunter.io and Apollo for B2B lead enrichment

A

MCP

Aleksey-Panf/b2b-enrichment-mcp

Added 13 July 2026

#ai-agents #apollo-ios #b2b #claude-code #cursor #hunter-io #lead-generation-tool #mcp

Overview

A unified MCP server that combines Hunter.io and Apollo APIs for B2B lead enrichment. It provides a single interface to query both services for contact and company data.

Best for

Best for
Developers building custom B2B enrichment pipelines who want a lightweight MCP wrapper

Use cases

  • Enrich lead records with verified email addresses from Hunter.io
  • Retrieve company and contact details from Apollo
  • Automate B2B data enrichment workflows via MCP protocol

How to use

Install

pip install -e .

Tools exposed

  • hunter_find_emails_by_domain
  • hunter_find_email
  • hunter_verify_email
  • hunter_count_emails
  • hunter_check_account
  • enrich_company
  • enrich_person_by_email
  • bulk_enrich_people
  • enrich_person
  • search_people
  • search_companies

Tested with

Claude Desktop, Cursor

Example client config

[object Object]

Notes

A unified MCP server that combines Hunter.io and Apollo APIs for B2B lead enrichment. It provides a single interface to query both services for contact and company data.

2 stars on GitHub. Last updated 2026-07-07.

Use cases

  • Enrich lead records with verified email addresses from Hunter.io
  • Retrieve company and contact details from Apollo
  • Automate B2B data enrichment workflows via MCP protocol

Pros

  • Combines two popular enrichment sources in one server
  • Simple MCP integration for existing toolchains
  • Open source with Python codebase

Cons

  • Low community adoption (2 stars)
  • Requires API keys for both Hunter.io and Apollo
  • Limited documentation and support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Combines two popular enrichment sources in one server
  • Simple MCP integration for existing toolchains
  • Open source with Python codebase

Cons

  • Low community adoption (2 stars)
  • Requires API keys for both Hunter.io and Apollo
  • Limited documentation and support
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