Nebulablock Mcp Server

Name: Nebulablock Mcp Server
Author: Nebula-Block-Data

@Nebula-Block-Data

About Nebulablock Mcp Server

This server integrates with the fastmcp library to expose the full range of NebulaBlock API functionalities as accessible tools, enabling seamless and efficient interaction within any MCP-compatible environment.

#nebulablock #gpu #server

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "nebula": {
      "command": "~/path/to/uv",
      "args": [
        "--directory",
        "~/path/to/nebulablock_mcp",
        "run",
        "-m",
        "src.main",
        "--api-key=YOUR_API_KEY"
      ]
    }
  }
}

Tools

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Nebulablock Mcp Server?

This server integrates with the fastmcp library to expose the full range of NebulaBlock API functionalities as accessible tools, enabling seamless and efficient interaction within any MCP-compatible environment.

How to use Nebulablock Mcp Server?

Clone the repository, create and activate a virtual environment, then install dependencies with uv pip install -e .. Run the server using uv run -m src.main. Configure the NebulaBlock API key via the --api-key command-line argument or a .env file containing NEBULA_BLOCK_API_KEY. Finally, configure your MCP client (e.g., VS Code) by adding a server entry in settings.json with the appropriate uv command and arguments.

Key features of Nebulablock Mcp Server

Exposes NebulaBlock API functionalities as MCP tools
Built on the fastmcp library
Supports API key configuration via CLI or .env
Runs with stdio transport
Includes a test suite using pytest
Licensed under the MIT License

Use cases of Nebulablock Mcp Server

—

FAQ from Nebulablock Mcp Server

What is the Nebulablock Mcp Server?

It is the official Model Context Protocol server for the NebulaBlock API, allowing you to interact with the API through MCP-compatible clients.

How do I install the server?

Clone the repository, create a Python virtual environment, activate it, and run uv pip install -e . to install dependencies.

How do I configure the API key?

You can provide the key via the --api-key command-line argument when starting the server, or place it in a .env file as NEBULA_BLOCK_API_KEY=your_key. The argument overrides the file.

How do I run the server?

Use the command uv run -m src.main from the project directory with the virtual environment activated.

How do I integrate with an MCP client?

Add an entry to your client’s settings.json with the path to uv, the project directory, and the --api-key argument. An example configuration is provided in the README.

Comments

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