Explorium API MCP Server: Enterprise Automation & Seamless Scaling

Unleash the power of your APIs with Explorium MCP Server – enterprise-grade automation, seamless scaling, and rock-solid security. Future-proof your tech ecosystem today!

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About Explorium API MCP Server

What is Explorium API MCP Server: Enterprise Automation & Seamless Scaling?

Explorium API MCP Server is a dedicated middleware solution designed to streamline interaction with the Explorium API ecosystem. Built for enterprise-grade automation, it enables seamless scaling of model context protocols while maintaining robust security and operational flexibility. This server acts as a bridge between Explorium's advanced AI capabilities and client applications, ensuring efficient resource allocation and error-free execution of complex workflows.

How to Use Explorium API MCP Server: Enterprise Automation & Seamless Scaling?

Local Development: Clone the repository and configure a virtual environment using uv sync --group dev. Run the server via local_dev_server.py and validate connections with the MCP Inspector tool.
Claude Desktop Integration: Configure claude_desktop_config.json with server path, API key, and execution parameters to enable protocol-based model access.
Cursor Deployment: Register the server in Cursor's MCP settings with a custom command, optionally enabling "Yolo mode" for unattended tool execution.

Explorium API MCP Server Features

Key Features of Explorium API MCP Server: Enterprise Automation & Seamless Scaling?

Multi-Client Compatibility: Supports integration with popular platforms like Claude Desktop and Cursor out-of-the-box.
Dynamic Scaling: Automatically adjusts resource allocation based on incoming API requests to handle fluctuating workloads.
Secure Configuration: Enforces environment variable management for sensitive credentials via .env files.
CI/CD Ready: Built-in versioning and PyPI deployment workflows simplify production-ready distribution.

Use Cases of Explorium API MCP Server: Enterprise Automation & Seamless Scaling?

Centralizing enterprise AI model access across teams via standardized MCP endpoints.
Automating model inference pipelines for real-time analytics and decision-making systems.
Scaling R&D experiments without manual server reconfiguration through adaptive resource provisioning.
Deploying secure API gateways for external partners while maintaining internal governance controls.

Explorium API MCP Server FAQ

FAQ from Explorium API MCP Server: Enterprise Automation & Seamless Scaling?

Why does local execution fail? Ensure dev dependencies are installed and the virtual environment is activated before running commands.
How to update API credentials? Modify the EXPLORIUM_API_KEY in your .env file and restart the server instance.
What is Yolo mode in Cursor? Bypasses confirmation dialogs for faster tool execution in trusted environments.
Can I deploy custom versions? Yes, increment the version in pyproject.toml before building with uv build.
Where to get support? Refer to official guides for Claude and Cursor integrations.

Content

Explorium API MCP Server

This MCP server is used to interact with the Explorium API.

Note: this is the README for developing the MCP server. For usage instructions, see the README-pypi.md.

Setup

Clone the repository:

git clone https://github.com/explorium-ai/mcp-explorium.git
cd mcp-explorium

Install uv and activate the virtual environment:

pip install uv
uv sync --group dev

Running Locally

When developing locally, use local_dev_server.py to expose the MCP server to local clients.

You can test it with the MCP Inspector:

mcp dev local_dev_server.py

Create an .env file in the root of the repository with an EXPLORIUM_API_KEY environment variable if it's not already configured.

Usage with Claude Desktop

Follow the official guide to install Claude Desktop and set it up to use MCP servers:

https://modelcontextprotocol.io/quickstart/user

Then, add this entry to your claude_desktop_config.json file:

{
  "mcpServers": {
    "Explorium": {
      "command": "<UV_INSTALL_PATH>",
      "args": [
        "run",
        "--directory",
        "<REPOSITORY_PATH>",
        "mcp",
        "run",
        "local_dev_server.py"
      ],
      "env": {
        "EXPLORIUM_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Be sure to replace all the <PLACEHOLDERS> with the actual values.

Run which uv to get your uv install path.

Usage with Cursor

Cursor has built-in support for MCP servers.

To configure it to use the Explorium MCP server, go to Cursor > Settings > Cursor Settings > MCP and add an "Explorium" entry with this command:

uv run --directory repo_path mcp run local_dev_server.py

Make sure to replace repo_path with the actual path to the repository.

You may turn on "Yolo mode" in Cursor settings to use tools without confirming under Cursor > Settings > Cursor Settings > Features > Chat > Enable Yolo mode.

Note: local usage will not work if dev dependencies are not installed, or if the virtual environment is not activated.

Building and Deploying

To build the MCP server, bump the version in pyproject.toml, then run:

uv build

This will create a dist directory with the built package.

You may then deploy the package to PyPI using the following command:

twine upload dist/*