Lead Enrichment MCP Server - 14 AI Tools for B2B Prospecting & Company Research

What is MCP (Model Context Protocol)?

MCP is a protocol that allows AI assistants (like Claude) to interact with external tools and data sources. This MCP server connects to various APIs and services.

How to Use MCP Servers

1. Install the MCP server in Claude Desktop's config
2. The server provides tools the AI can use
3. Ask Claude to use the tools (e.g., "Search for local businesses...")

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14-in-1 MCP Server for AI-powered B2B prospecting and company research. Includes: prospect discovery, multi-provider enrichment (Apollo, Clearbit, ZoomInfo, Hunter), LinkedIn profile/posts/voice analysis, Glassdoor reviews, Crunchbase funding data, tech stack detection, contact enrichment, AI-powered lead scoring, and personalized outreach generation. Full-funnel research - ask Claude to 'research this company's tech stack, funding, and key decision makers'.

Features

• Model Context Protocol (MCP) compatible
• Works with Claude and other AI assistants
• Structured data output
• Multiple data sources

Quick Start

{
  "input": "your input here"
}

Demo Mode

Set demoMode: true to test with sample data (no charges). When you're ready for real results, set demoMode: false or omit it.

{
  "demoMode": true,
  ...
}

Input Parameters

Parameter	Type	Required	Description
See input schema

Output Format

{
  "data": [...]
}

Pricing

This actor uses pay-per-event billing: Pay-per-event pricing:

• $0.005 per MCP tool call
• $0.01 per lead enriched
• $0.02 per LinkedIn profile scraped
• $0.015 per lead scored
• $0.008 per prospect found

Use Cases

• Data collection
• Research
• Automation

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Common Problems & Solutions

"Invalid API key" error

Cause: Your API key is wrong, expired, or doesn't have the right permissions. Fix: Double-check your API key. Make sure you copied it exactly without extra spaces.

"Rate limit exceeded" error

Cause: You've hit the API's rate limits. Fix: Wait a few minutes, then try again. Consider reducing the number of concurrent requests.

Empty or incomplete results

Cause: The target may have anti-scraping protection or the data doesn't exist. Fix:

• Check if the URL/search query is correct
• Try with different parameters
• Some sites may block automated access

Demo data showing instead of real results

Cause: demoMode is still set to true. Fix: Set demoMode: false and provide your API key(s).

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Built by John Rippy | Actor Arsenal