Overview
The Explorium MCP Server is a Model Context Protocol server that enables AI assistants to access Explorium's extensive business and prospect data. By integrating this server with your AI tools, you can provide them with accurate, up-to-date information about companies, industries, and professionals directly in chat interfaces.
Features
Business Data Lookups - Access detailed company information including firmographics, technology usage, and financial metrics
Prospect Search - Find and research professionals with comprehensive contact details and career information
Event Tracking - Monitor company and prospect events like funding rounds, job changes, and product launches
Seamless AI Integration - Works with Claude, Cursor, and other MCP-compatible AI assistants
Installation
Install the Explorium MCP Server from PyPI:
pip install explorium-mcp-server
Requirements:
- Python 3.10 or later
- Valid Explorium API key
Quick Start
1. Set Up Your API Key
Create a .env file or set an environment variable with your Explorium API key:
EXPLORIUM_API_KEY=your_api_key_here
To obtain an API key, sign up for an Explorium account and visit the API section in your admin panel.
2. Running the Server
There are multiple ways to run the Explorium MCP Server:
Direct Execution
python -m explorium_mcp_server
Using MCP CLI
If you have the MCP CLI tool installed:
mcp run explorium_mcp_server
Integration with AI Assistants
Claude Desktop
Follow the official Model Context Protocol guide to set up Claude Desktop for MCP servers
Add this entry to your claude_desktop_config.json file:
{
"mcpServers": {
"Explorium": {
"command": "python",
"args": [
"-m",
"explorium_mcp_server"
],
"env": {
"EXPLORIUM_API_KEY": "YOUR_API_KEY"
}
}
}
}
Cursor
Cursor has built-in support for MCP servers:
- Go to Cursor > Settings > Cursor Settings > MCP
- Add an "Explorium" entry with this command:
python -m explorium_mcp_server
- Set your API key in the environment variables section
- Optionally enable "Yolo mode" in Cursor settings to use tools without confirming (Cursor > Settings > Cursor Settings > Features > Chat > Enable Yolo mode)
Available Tools
The Explorium MCP Server provides access to these API tools:
Business Data Tools
match_businesses - Identify businesses by name or domain
fetch_businesses - Search for businesses with specific criteria
autocomplete - Get available values for various filter fields
fetch_businesses_statistics - Get aggregated business insights
enrich_businesses_firmographics - Get detailed company information
enrich_businesses_technographics - Get technology stack details
enrich_businesses_company_ratings - Get employee satisfaction data
enrich_businesses_financial_metrics - Get financial performance data
enrich_businesses_funding_and_acquisitions - Get investment history
enrich_businesses_challenges - Get business challenge insights
enrich_businesses_competitive_landscape - Get competitor information
enrich_businesses_strategic_insights - Get strategic focus areas
enrich_businesses_workforce_trends - Get department composition data
enrich_businesses_events - Get business-related events
enrich_businesses_linkedin_posts - Get company social media content
enrich_businesses_website_changes - Get website content changes
enrich_businesses_website_keywords - Search website content
Prospect Data Tools
match_prospects - Identify individuals by email, name and company
fetch_prospects - Search for contacts by job role, department, etc.
fetch_prospects_events - Get prospect-related events
enrich_prospects_contacts_information - Get contact details
enrich_prospects_linkedin_posts - Get individual's social content
enrich_prospects_profiles - Get detailed professional profiles
Example Usage
Here's how you might interact with the Explorium MCP Server through an AI assistant:
User: "Find software companies in New York with 50-200 employees that use AWS"
AI: [Uses Explorium MCP to search]
"I found 15 software companies in New York matching your criteria:
1. TechVision Inc.
- 120 employees
- Uses AWS, React, and MongoDB
- $25M-75M annual revenue
2. DataFlow Systems
- 86 employees
- Uses AWS, Python, and PostgreSQL
- $10M-25M annual revenue
[...]"
Additional Resources
- Explorium AgentSource API Documentation
- MCP Protocol Specification
- Example Integrations with base44 & n8n