NebulaBlock API MCP

This repository hosts the official NebulaBlock API Model Context Protocol (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.

Project Structure

.
├── src/
│   ├── __init__.py
│   ├── config.py
│   ├── main.py
│   ├── tools.py
│   └── mcp_project.egg-info/
├── tests/
│   ├── __init__.py
│   └── test_main.py
├── scripts/
├── docs/
├── .env.example
├── .gitignore
├── pyproject.toml
├── README.md
└── uv.lock

• src/: Contains the main application source code, including configuration and tool definitions.
• tests/: Contains unit and integration tests.
• scripts/: Reserved for utility scripts (e.g., setup, data generation).
• docs/: Reserved for supplementary documentation.
• .env.example: Example file for environment variables.
• .gitignore: Specifies intentionally untracked files to ignore.
• pyproject.toml: Project metadata and build system configuration, including dependencies and project information.
• README.md: This documentation file.
• uv.lock: Lock file for uv dependency management.

Installation and Setup

To set up and run this project, follow these steps:

1. Clone the repository (if applicable):

   git clone https://github.com/Nebula-Block-Data/api-mcp
   cd mcp-project
   

2. Create a virtual environment: It's highly recommended to use a virtual environment to manage project dependencies.

   python3 -m venv .venv
   

3. Activate the virtual environment:

   • macOS/Linux:

source .venv/bin/activate

4. Install dependencies: This project uses pyproject.toml for dependency management. Install setuptools and then the project in editable mode.

   uv pip install -e .
   

   This will install fastmcp and any other dependencies specified in pyproject.toml.

Running the NebulaBlock API MCP Server

To start the NebulaBlock API MCP server:

uv run -m src.main

You should see output similar to: [05/29/25 17:32:58] INFO Starting MCP server 'FastMCP' with transport 'stdio'

Configuring API Key

The NebulaBlock API key can be configured in two ways:

1. Using the --api-key command-line argument: You can provide the API key directly when running the application:

   python -m src.main --api-key your_nebula_block_api_key
   

   This method will override any API key set in the .env file.

2. Using a .env file: Create a file named .env in the root directory of the project and add your API key to it:

   NEBULA_BLOCK_API_KEY=your_nebula_block_api_key
   

   The application will automatically load the API key from this file if the --api-key argument is not provided.

Running Tests

To run the unit tests, ensure your virtual environment is activated and pytest is installed (it will be installed with pip install -e .):

pytest

You should see output indicating that the tests passed.

Integrating with an MCP Client

To utilize the NebulaBlock API MCP server, you need to configure your MCP client (e.g., VS Code with an MCP extension) to connect to this server. Below is an example configuration for a settings.json file:

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

• Replace ~/path/to/uv with the actual path to your uv executable.
• Replace ~/path/to/nebulablock_mcp with the actual path to your project directory.
• Replace YOUR_API_KEY with your actual NebulaBlock API key.

License

This project is licensed under the MIT License. See the LICENSE file (if created) for details.