mcpField
W
Website Contact & Company Enricher

Website Contact & Company Enricher

Remote
getfairquery.comBusiness & Marketing

About Website Contact & Company Enricher

Website Contact & Company Enricher is an Apify Actor and stdio MCP server for enriching company domains with public business contact and company details. It suits sales-ops and agents that need structured, source-linked results, with role mailboxes as the default and robots.txt respected.

Key features

  1. 01Extracts business emails, phones and social profiles
  2. 02Finds company name, description and postal address
  3. 03Validates email syntax, MX and common risks
  4. 04Normalizes domains, URLs and email inputs
  5. 05Respects robots.txt and request delays

Use cases

  1. 01Enriching CRM or lead lists with company contacts
  2. 02Finding generic inboxes and checking domain mail readiness
  3. 03Collecting official social profiles and company details

MCP support

The stdio MCP server provides enrich_domains, get_enrichment_results and normalize_domains. It can start or inspect Apify Actor runs; normalization is local and requires no token.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.apify.com/?tools=fetch-actor-details,fairquery/website-contact-company-enricher
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.apify.com/?tools=fetch-actor-details,fairquery/website-contact-company-enricherAuth required

Tools

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.