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Explorium B2B Data - MCP Server
Configuration
View docs{
"mcpServers": {
"explorium-ai-mcp-explorium": {
"url": "https://mcp.explorium.ai/mcp",
"headers": {
"API_ACCESS_TOKEN": "YOUR_API_ACCESS_TOKEN"
}
}
}
}You connect your AI tools to Explorium’s MCP server to access up-to-date business data. Through MCP you can search and enrich companies and contacts, gain business intelligence, and incorporate real-time insights into your AI workflows.
Connect your AI tool to the Explorium MCP server using the remote URL https://mcp.explorium.ai/mcp for streamable HTTP access, or use the SSE endpoint https://mcp.explorium.ai/sse if your client supports Server-Sent Events. You can also run a local/self-hosted instance via the stdio method by starting a remote MCP server with the provided command and URL. Once connected, you gain access to a range of business data capabilities.
If you use a remote HTTP connection, configure your MCP client to point at the streamable endpoint. For SSE, point to the SSE URL. If you opt for a local setup, run the local server command and point your client to the local process. After connection, you can perform actions like discovering professionals, enriching firmographics and tech stacks, and tracking business events inside your AI workflows.
Prerequisites: install Docker or use a local/remote MCP client that supports HTTP, SSE, or STDIO connections. If you plan to self-host, you will need an Explorium API key for Docker deployments.
Docker self-hosting (recommended for full control) follows these steps.
# 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-mcpIf you are using a separate MCP client, ensure you provide the API access token when required by the local server setup. The recommended HTTP URL for remote access is https://mcp.explorium.ai/mcp. When running locally, use the npx based command shown in the local server connection examples to start the remote MCP client and connect to https://mcp.explorium.ai/mcp.
Example client setup paths include Claude Desktop, Cursor, Windsurf, VS Code, Zed, Cline, Roo Code, Gemini CLI, JetBrains AI Assistant, Kiro, and other MCP-aware tools. Each client has its own steps to add a new MCP server using either a remote URL or a local stdio command that launches mcp-remote with the remote URL.
API key is required when self-hosting with Docker. Use the token you obtain from your Explorium account to authenticate the MCP server. Remote connections (streamable HTTP, SSE, STDIO) do not require an API key.
If you cannot connect, verify that your MCP client supports MCP and is configured to the correct endpoint. For self-hosted Docker deployments, ensure the API token is provided and the container is running. If you still have issues, check the connection method you are using (HTTP, SSE, or STDIO) and confirm the URL or command matches the instructions.
Once connected, you can leverage tools for discovering, enriching, and tracking business data. These include: Business Matching, Business Enrichment, Business Events, Prospect Discovery, Prospect Enrichment, and Prospect Events.
Find and enrich companies by name, domain, or attributes with detailed firmographics.
Obtain firmographics, technographics, and business intelligence data.
Track funding rounds, office changes, hiring trends, and company developments.
Search for professionals and contacts within companies.
Access contact information, work history, and professional profiles.
Track role changes, company moves, and career milestones.