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Explorium API MCP Server

by explorium-ai

This MCP server is designed to interact with the Explorium API, enabling users to leverage Explorium's data enrichment capabilities within various development environments. It facilitates seamless integration with tools like Claude Desktop and Cursor.

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What is Explorium API MCP Server?

The Explorium API MCP Server is a tool that allows developers to connect to and utilize the Explorium API within Model Context Protocol (MCP) compatible environments. It provides a standardized way to access Explorium's data enrichment services from applications like Claude Desktop and Cursor.

How to use Explorium API MCP Server?

To use the server, first clone the repository and install the necessary dependencies using uv sync --group dev. Then, configure your MCP-compatible application (e.g., Claude Desktop or Cursor) to point to the local_dev_server.py script, ensuring that the EXPLORIUM_API_KEY environment variable is set. Refer to the linked documentation for specific setup instructions for each application.

Key features of Explorium API MCP Server

  • API Interaction

  • Local Development Server

  • MCP Compatibility

  • Configuration via Environment Variables

  • Integration with Claude Desktop

  • Integration with Cursor

  • Building and Deploying

Use cases of Explorium API MCP Server

  • Enriching prompts in Claude Desktop with Explorium data

  • Providing contextual data to Cursor for code generation and analysis

  • Integrating Explorium's data enrichment capabilities into custom applications

  • Developing and testing Explorium API integrations locally

  • Deploying a production-ready MCP server for Explorium API access

FAQ from Explorium API MCP Server

What is an MCP server?

MCP stands for Model Context Protocol. It's a standard for connecting language models with external data sources and tools.

How do I get an Explorium API key?

You need to sign up for an Explorium account and obtain an API key from their platform.

Why do I need a virtual environment?

A virtual environment isolates project dependencies, preventing conflicts with other Python projects on your system.

What is the purpose of local_dev_server.py?

This script provides a local development server for testing the MCP server without deploying it to a production environment.

How do I deploy the MCP server to production?

After building the package using uv build, you can deploy it to PyPI using twine upload dist/* or host it on a server of your choice.