Mcp Explorium

ai.exploriumPublished by explorium.aiOfficial publisherv1.0.1Updated Oct 25, 2026

Access live company and contact data from Explorium's AgentSource B2B platform.

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingBusiness & Commerce

Overview

AI-generated overview

Explorium's remote MCP server gives an assistant live B2B company and contact data for search, enrichment and business-event research.

What you can do
Match and look up companies by name, domain or business ID, with firmographics and technographics enrichment and business-event tracking such as funding, office changes and hiring trends. Discover professionals and contacts within companies, enrich them with contact details, work history and profiles, and track role changes and career milestones. Pull results from dozens of external data sources into the assistant's workflow for lead research, prospect qualification and outreach drafting.
When to use it
Useful for sales, recruiting or partnership research where the assistant should find companies, identify the right contacts and gather firmographic or career details without leaving the chat. Also suited to questions about a company's business challenges, tech stack or recent events.
Requirements
A remote MCP endpoint reached over Streamable HTTP (SSE and a local npx mcp-remote bridge are also documented). The manifest declares OAuth authentication as required. The README states remote connections need no API key, while Docker self-hosting requires an API_ACCESS_TOKEN environment variable. Network access to Explorium's hosted server.
Before you install
The server returns personal contact data such as emails, phone numbers and work history, so handle it under applicable privacy rules. Remote connections are authenticated via OAuth; the Docker route needs an API_ACCESS_TOKEN secret, which should be kept out of shared configs. The README notes the repository's server file is only a placeholder and the real server is hosted by Explorium.

Installation

In SourceWeft

  1. Open Mcp Explorium in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/ai.explorium%2Fmcp-explorium/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

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

README

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.

json
{  "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
json
{  "mcpServers": {    "explorium": {      "url": "https://mcp.explorium.ai/mcp"    }  }}
Cursor Local Server Connection
json
{  "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
json
{  "mcpServers": {    "explorium": {      "serverUrl": "https://mcp.explorium.ai/mcp"    }  }}
Windsurf Local Server Connection
json
{  "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
json
"mcp": {  "servers": {    "explorium": {      "type": "http",      "url": "https://mcp.explorium.ai/mcp"    }  }}
VS Code Local Server Connection
json
"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.

json
{  "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
json
{  "mcpServers": {    "explorium": {      "type": "streamable-http",      "url": "https://mcp.explorium.ai/mcp"    }  }}
Roo Code Local Server Connection
json
{  "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
json
{  "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:
json
{  "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:
json
{  "mcpServers": {    "Explorium": {      "url": "https://mcp.explorium.ai/mcp"    }  }}

SSE (Server-Sent Events)

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

STDIO (Local Server)

  • JSON config:
json
{  "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:

bash
# Build the Docker imagedocker build -t explorium-mcp .
# Run the container with API access tokendocker 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:

yaml
# docker-compose.ymlversion: '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

For technical support, contact [email protected].

License

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

Source: README.md at commit 7aafdff

Tools

0
This server asks for a credential such as an API key, so SourceWeft could not read its tools without one and has not indexed them.

Version history

1
  1. v1.0.1LatestSep 16, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

Other Explorium integrations

Vibe Prospecting

Published by GitHub account explorium-ai

Remote MCP server that gives an assistant live B2B company and contact data for building lead lists, enriching contacts, researching firms, and exporting to CSV

Streamable HTTPWeb executableAuth
Data & AnalyticsCredential requiredOct 25, 2026