The Explorium AgentSource MCP Server enables AI assistants to access Explorium's extensive business and prospects databases, providing accurate, up-to-date information directly in chat interfaces.
Key capabilities:
Business Intelligence: Find and match businesses by name, domain, or filter by size, revenue, location, industry, tech stack, and other criteria
Business Enrichment: Access detailed firmographics, technographics, financial metrics, funding history, strategic insights, competitive landscape, and workforce trends
Prospect Discovery: Find individuals by email, name, company, LinkedIn profile, phone number, job level, title, department, location, and experience
Prospect Enrichment: Retrieve contact information, work history, education details, and LinkedIn posts
Event Tracking: Monitor business events (funding rounds, IPOs, partnerships, office changes) and prospect events (role changes, company transitions, work anniversaries)
Analytics: Access business statistics with aggregated insights by industry, revenue, employee count, and geography
Search Assistance: Autocomplete available values for search filters before performing searches
Provides repository access for cloning the project code
Supports deploying the package to PyPI for distribution
Explorium Business Data Hub
Discover companies, contacts, and business insights—powered by dozens of trusted external data sources.
This repository contains the configuration and setup files for connecting to Explorium's Model Context Protocol (MCP) server, enabling AI tools to access comprehensive business intelligence data.
Overview
The Explorium Business Data Hub provides AI tools with access to:
- Company Search & Enrichment: Find companies by name, domain, or attributes with detailed firmographics
- Contact Discovery: Locate and enrich professional contact information
- Business Intelligence: Access technology stack, funding history, growth signals, and business events
- Real-Time Data: Up-to-date information from dozens of trusted external data sources
- Workflow Integration: Seamlessly integrate business data into AI-powered workflows
Search any company or professional for everything from emails and phone numbers to roles, growth signals, tech stack, business events, website changes, and more. Find qualified leads, research prospects, identify talent, or craft personalized outreach—all without leaving your AI tool.
Installation
Remote Server Connection
Open Claude Desktop and navigate to Settings > Connectors > Add Custom Connector. Enter the name as Explorium
and the remote MCP server URL as https://mcp.explorium.ai/mcp
.
Local Server Connection
Open Claude Desktop developer settings and edit your claude_desktop_config.json
file to add the following configuration. See Claude Desktop MCP docs for more info.
Go to: Settings
-> Cursor Settings
-> MCP
-> Add new global MCP server
Pasting the following configuration into your Cursor ~/.cursor/mcp.json
file is the recommended approach. You may also install in a specific project by creating .cursor/mcp.json
in your project folder. See Cursor MCP docs for more info.
Cursor Remote Server Connection
Cursor Local Server Connection
Add this to your Windsurf MCP config file. See Windsurf MCP docs for more info.
Windsurf Remote Server Connection
Windsurf Local Server Connection
Add this to your VS Code MCP config file. See VS Code MCP docs for more info.
VS Code Remote Server Connection
VS Code Local Server Connection
It can be installed via Zed Extensions or you can add this to your Zed settings.json
. See Zed Context Server docs for more info.
You can easily install Explorium through the Cline MCP Server Marketplace by following these instructions:
- Open Cline.
- Click the hamburger menu icon (☰) to enter the MCP Servers section.
- Use the search bar within the Marketplace tab to find Explorium.
- Click the Install button.
Add this to your Roo Code MCP configuration file. See Roo Code MCP docs for more info.
Roo Code Remote Server Connection
Roo Code Local Server Connection
See Gemini CLI Configuration for details.
- Open the Gemini CLI settings file. The location is
~/.gemini/settings.json
(where~
is your home directory). - Add the following to the
mcpServers
object in yoursettings.json
file:
Or, for a local server:
If the mcpServers
object does not exist, create it.
See JetBrains AI Assistant Documentation for more details.
- In JetBrains IDEs go to
Settings
->Tools
->AI Assistant
->Model Context Protocol (MCP)
- Click
+ Add
. - Click on
Command
in the top-left corner of the dialog and select the As JSON option from the list - Add this configuration and click
OK
- Click
Apply
to save changes. - The same way explorium could be added for JetBrains Junie in
Settings
->Tools
->Junie
->MCP Settings
See Kiro Model Context Protocol Documentation for details.
- Navigate
Kiro
>MCP Servers
- Add a new MCP server by clicking the
+ Add
button. - Paste the configuration given below:
- Click
Save
to apply the changes.
Connecting to Explorium MCP
For advanced users or other MCP clients, you can connect using these methods:
You can connect your AI tool to Explorium using the Model Context Protocol (MCP) through several methods:
Streamable HTTP (Recommended)
- URL:
https://mcp.explorium.ai/mcp
- JSON config:
SSE (Server-Sent Events)
- URL:
https://mcp.explorium.ai/sse
- JSON config:
STDIO (Local Server)
- JSON config:
API Key Requirements
Important: Different connection methods have different authentication requirements:
- ✅ Claude Desktop Extension - No API key required
- ✅ MCP Remote Connections (Streamable HTTP/SSE/STDIO) - No API key required
- 🔑 Docker Self-Hosting - Requires API key
Getting Your API Key
For Docker deployment, you'll need an API access token. Get yours at: https://admin.explorium.ai/api-key
Docker Deployment
This repository includes Docker configuration for self-hosting:
Required Environment Variables:
API_ACCESS_TOKEN
- Your Explorium API access token for authentication (get it here)
You can also use a .env
file or docker-compose for easier management:
Available Tools
Once connected, your AI tool will have access to tools for:
- Business Matching: Find companies by name, domain, or business ID
- Business Enrichment: Get detailed firmographics, technographics, and business intelligence
- Business Events: Track funding rounds, office changes, hiring trends, and company developments
- Prospect Discovery: Search for professionals and contacts within companies
- Prospect Enrichment: Access contact information, work history, and professional profiles
- Prospect Events: Track role changes, company moves, and career milestones
Troubleshooting Connection Issues
If you're experiencing issues connecting your AI tool to Explorium MCP:
- Check MCP Client Support
Verify that your AI tool supports MCP clients and can connect to MCP servers. Not all AI tools have this capability built-in yet. - Verify Remote Server Support
Some AI tools have MCP clients but don't support remote connections. If this is the case, you may still be able to connect using our Docker configuration or local server setup. - Request MCP Support
If your AI tool doesn't support MCP at all, we recommend reaching out to the tool's developers to request MCP server connection support.
Configuration Files
This repository contains:
package.json
- Node.js dependencies and scriptsmanifest.json
- Extension metadata and configurationDockerfile
- Container configuration for self-hostingserver/index.js
- Placeholder file (does not contain actual MCP implementation)entrypoint.sh
- Docker container entry point
Important Note: The server/index.js
file in this repository is just a placeholder and does not contain the actual MCP server implementation. To use Explorium MCP, you need to connect to the remote server at https://mcp.explorium.ai/mcp
using mcp-remote
or through the connection methods described above. The actual MCP server is hosted by Explorium and accessible via the remote URLs.
Documentation & Support
For technical support, contact support@explorium.ai.
License
This project is licensed under the MIT License. See LICENSE for details.
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Explorium AgentSource MCP Server empowers every agent to become an AI-driven, Go-To-Market specialized agent! With over 20 specialized endpoints designed for prospecting, sales, and lead generation, agents can effortlessly generate and enrich accounts and prospects, access deep business insights, an
- 📋 Table of Contents
- Overview
- Installation
- Setup for Development
- Running Locally
- Usage with AI Assistants
- Project Structure
- Development Workflow
- Continuous Integration
- Building and Publishing
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