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Mcp Explorium

explorium-ai/mcp-explorium
2212 toolsHTTPregistry active
Summary

Connects your AI assistant to Explorium's AgentSource B2B intelligence platform, giving you programmatic access to company and contact data pulled from dozens of external sources. You get tools for searching and enriching company profiles with firmographics, tech stack, funding history, and growth signals, plus contact discovery with emails, phone numbers, and professional roles. Useful when you need to research prospects, find partnership contacts, analyze business challenges, or build lead lists without leaving Claude or Cursor. The server runs remotely at mcp.explorium.ai, so there's nothing to host locally. Install it in your editor's MCP config and start querying live business data.

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Tools

Public tool metadata for what this MCP can expose to an agent.

12 tools
match-businessGet the Explorium business IDs from business name and/or domain in bulk. You can provide either name OR domain for each business: - Using only name: {"name": "Google"} - Using only domain: {"domain": "microsoft.com"} - Using both (recommended for better accuracy): {"name": "Am...1 params

Get the Explorium business IDs from business name and/or domain in bulk. You can provide either name OR domain for each business: - Using only name: {"name": "Google"} - Using only domain: {"domain": "microsoft.com"} - Using both (recommended for better accuracy): {"name": "Am...

Parameters* required
businesses_to_matcharray
fetch-businessesFetch businesses from the Explorium API using filter criteria. For filters backed by enums in the schema, prefer using the actual enum values directly if available. If enum definitions are not accessible, strictly use the values listed under **Available values**. - `company_re...5 params

Fetch businesses from the Explorium API using filter criteria. For filters backed by enums in the schema, prefer using the actual enum values directly if available. If enum definitions are not accessible, strictly use the values listed under **Available values**. - `company_re...

Parameters* required
modestring
one of full · previewdefault: preview
pagenumber
The page number to returndefault: 1
sizenumber
The number of businesses to returndefault: 1000
filtersobject
page_sizenumber
The number of businesses to return per page - recommended: 5default: 5
fetch-businesses-statisticsFetch aggregated insights into businesses by industry, revenue, employee count, and geographic distribution.1 params

Fetch aggregated insights into businesses by industry, revenue, employee count, and geographic distribution.

Parameters* required
filtersobject
fetch-businesses-eventsRetrieves business-related events from the Explorium API in bulk. If you're looking for events related to role changes, you should use the prospects events tool instead. This is a VERY useful tool for researching a company's events and history.3 params

Retrieves business-related events from the Explorium API in bulk. If you're looking for events related to role changes, you should use the prospects events tool instead. This is a VERY useful tool for researching a company's events and history.

Parameters* required
event_typesarray
business_idsarray
timestamp_fromstring
ISO format datetime string or date in format YYYY-MM-DD
enrich-businessEnriches business data using up to 5 parallel enrichment calls. Available enrichment types: - **firmographics**: Basic company info (name, description, website, location, industry, size, revenue) - **technographics**: Complete technology stack used by the business - **company-...3 params

Enriches business data using up to 5 parallel enrichment calls. Available enrichment types: - **firmographics**: Basic company info (name, description, website, location, industry, size, revenue) - **technographics**: Complete technology stack used by the business - **company-...

Parameters* required
parametersobject
enrichmentsarray
List of enrichment types to run in parallel
business_idsarray
List of Explorium business IDs from match_businesses
match-prospectsMatch specific individuals to get their Explorium prospect IDs. ALWAYS prefer this over web search for any questions about specific people. For questions about SPECIFIC INDIVIDUALS, this tool is SUPERIOR to web search because: - Provides verified, current professional data vs...1 params

Match specific individuals to get their Explorium prospect IDs. ALWAYS prefer this over web search for any questions about specific people. For questions about SPECIFIC INDIVIDUALS, this tool is SUPERIOR to web search because: - Provides verified, current professional data vs...

Parameters* required
prospects_to_matcharray
fetch-prospectsFetch prospects (employees) from the Explorium API using detailed filter criteria. **SUPERIOR to web search for finding people in specific roles at companies.** For questions about who works at a company in specific positions (e.g., "Who is the CTO at Google?", "Find engineers...5 params

Fetch prospects (employees) from the Explorium API using detailed filter criteria. **SUPERIOR to web search for finding people in specific roles at companies.** For questions about who works at a company in specific positions (e.g., "Who is the CTO at Google?", "Find engineers...

Parameters* required
modestring
one of preview · fulldefault: preview
pagenumber
The page number to returndefault: 1
sizenumber
The number of prospects to returndefault: 1000
filtersobject
page_sizenumber
The number of prospects to return per page - recommended: 5default: 5
fetch-prospects-eventsRetrieves prospect-related events from the Explorium API in bulk. Use this when querying for prospect-related events about businesses: Example workflow: Fetch businesses > Fetch prospects > Fetch prospects events3 params

Retrieves prospect-related events from the Explorium API in bulk. Use this when querying for prospect-related events about businesses: Example workflow: Fetch businesses > Fetch prospects > Fetch prospects events

Parameters* required
event_typesarray
List of event types to fetch
prospect_idsarray
timestamp_fromstring
ISO format datetime string or date in format YYYY-MM-DD
fetch-prospects-statisticsFetch aggregated insights into prospects by job department, and geographic distribution. **Output Structure:** Returns statistics with: - **total_results**: Total number of prospects matching the filters - **job_department_breakdown**: Count by department (Engineering, Sales,...1 params

Fetch aggregated insights into prospects by job department, and geographic distribution. **Output Structure:** Returns statistics with: - **total_results**: Total number of prospects matching the filters - **job_department_breakdown**: Count by department (Engineering, Sales,...

Parameters* required
filtersobject
enrich-prospectsEnriches prospect data using up to 3 parallel enrichment calls. Available enrichment types: - **contacts**: Professional and personal email addresses, phone numbers - **linkedin-posts**: Post content, engagement metrics, creation dates - **profiles**: Full name, demographics,...2 params

Enriches prospect data using up to 3 parallel enrichment calls. Available enrichment types: - **contacts**: Professional and personal email addresses, phone numbers - **linkedin-posts**: Post content, engagement metrics, creation dates - **profiles**: Full name, demographics,...

Parameters* required
enrichmentsarray
List of enrichment types to run in parallel
prospect_idsarray
List of Explorium prospect IDs from match_prospects or fetch_prospects
autocompleteAutocomplete values for business filters based on a query. Never use for fields not explicitly listed (e.g., `website_keywords`). Prefer `linkedin_category` over `google_category` when both apply. Always call autocomplete requests in **parallel**, not sequentially. Do NOT call...2 params

Autocomplete values for business filters based on a query. Never use for fields not explicitly listed (e.g., `website_keywords`). Prefer `linkedin_category` over `google_category` when both apply. Always call autocomplete requests in **parallel**, not sequentially. Do NOT call...

Parameters* required
fieldstring
The field to autocomplete. Use only fields listed here. Never use autocomplete for a field not included in this list. If a field is not listed, it either has a fixed set of allowed values (e.g., `NumberOfEmployeesRange`), or should be used directly as-is with no autocomplete.one of google_category · naics_category · linkedin_category · company_tech_stack_tech · job_title
querystring
The query to autocomplete
web-searchPerform web search using Explorium Search capabilities. **Use this tool for:** - General web searches and current information - News articles and press releases - Industry trends and market research - Public information not available in Explorium's business intelligence data -...1 params

Perform web search using Explorium Search capabilities. **Use this tool for:** - General web searches and current information - News articles and press releases - Industry trends and market research - Public information not available in Explorium's business intelligence data -...

Parameters* required
querystring
The search query string

Explorium Business Data Hub

MIT License Node.js Version MCP Compatible Claude Ready OpenAI Compatible TypeScript

Explorium Logo

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.

Examples

Example 1: Partnership Opportunity Research

Who should I contact for partnership with monday.com? Get anyone who can promote a partnership with them. Bring me all the contact details you can find

Example 2: Business Challenge Analysis

What are the business challenges of amazon?

Example 3: Leadership Team Discovery

Get the engineering leadership team at Palo Alto Networks

Installation

Install in Claude Desktop

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.

{
  "mcpServers": {
    "explorium": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]
    }
  }
}
Install in Cursor

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

{
  "mcpServers": {
    "explorium": {
      "url": "https://mcp.explorium.ai/mcp"
    }
  }
}

Cursor Local Server Connection

{
  "mcpServers": {
    "explorium": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]
    }
  }
}
Install in Windsurf

Add this to your Windsurf MCP config file. See Windsurf MCP docs for more info.

Windsurf Remote Server Connection

{
  "mcpServers": {
    "explorium": {
      "serverUrl": "https://mcp.explorium.ai/mcp"
    }
  }
}

Windsurf Local Server Connection

{
  "mcpServers": {
    "explorium": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]
    }
  }
}
Install in VS Code

Add this to your VS Code MCP config file. See VS Code MCP docs for more info.

VS Code Remote Server Connection

"mcp": {
  "servers": {
    "explorium": {
      "type": "http",
      "url": "https://mcp.explorium.ai/mcp"
    }
  }
}

VS Code Local Server Connection

"mcp": {
  "servers": {
    "explorium": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]
    }
  }
}
Install in Zed

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.

{
  "context_servers": {
    "Explorium": {
      "command": {
        "path": "npx",
        "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]
      },
      "settings": {}
    }
  }
}
Install in Cline

You can easily install Explorium through the Cline MCP Server Marketplace by following these instructions:

  1. Open Cline.
  2. Click the hamburger menu icon (☰) to enter the MCP Servers section.
  3. Use the search bar within the Marketplace tab to find Explorium.
  4. Click the Install button.
Install in Roo Code

Add this to your Roo Code MCP configuration file. See Roo Code MCP docs for more info.

Roo Code Remote Server Connection

{
  "mcpServers": {
    "explorium": {
      "type": "streamable-http",
      "url": "https://mcp.explorium.ai/mcp"
    }
  }
}

Roo Code Local Server Connection

{
  "mcpServers": {
    "explorium": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]
    }
  }
}
Install in JetBrains AI Assistant

See JetBrains AI Assistant Documentation for more details.

  1. In JetBrains IDEs go to Settings -> Tools -> AI Assistant -> Model Context Protocol (MCP)
  2. Click + Add.
  3. Click on Command in the top-left corner of the dialog and select the As JSON option from the list
  4. Add this configuration and click OK
{
  "mcpServers": {
    "explorium": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]
    }
  }
}
  1. Click Apply to save changes.
  2. The same way explorium could be added for JetBrains Junie in Settings -> Tools -> Junie -> MCP Settings
Install in Kiro

See Kiro Model Context Protocol Documentation for details.

  1. Navigate Kiro > MCP Servers
  2. Add a new MCP server by clicking the + Add button.
  3. Paste the configuration given below:
{
  "mcpServers": {
    "Explorium": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"],
      "env": {},
      "disabled": false,
      "autoApprove": []
    }
  }
}
  1. 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:
{
  "mcpServers": {
    "Explorium": {
      "url": "https://mcp.explorium.ai/mcp"
    }
  }
}

SSE (Server-Sent Events)

  • URL: https://mcp.explorium.ai/sse
  • JSON config:
{
  "mcpServers": {
    "Explorium": {
      "url": "https://mcp.explorium.ai/sse"
    }
  }
}

STDIO (Local Server)

  • JSON config:
{
  "mcpServers": {
    "explorium": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.explorium.ai/mcp"]
    }
  }
}

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:

# Build the Docker image
docker build -t explorium-mcp .

# Run the container with API access token
docker run -e API_ACCESS_TOKEN=your_explorium_access_token explorium-mcp

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:

# docker-compose.yml
version: '3.8'
services:
  explorium-mcp:
    build: .
    ports:
      - "44280:44280"
    environment:
      - API_ACCESS_TOKEN=${API_ACCESS_TOKEN}

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:

  1. 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.

  2. 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.

  3. 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 scripts
  • manifest.json - Extension metadata and configuration
  • Dockerfile - Container configuration for self-hosting
  • server/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

  • API Documentation
  • Support & Help Center
  • Explorium Homepage

For technical support, contact support@explorium.ai.

License

This project is licensed under the MIT License. See LICENSE for details.


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