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.
.
├── 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 foruv
dependency management.
To set up and run this project, follow these steps:
-
Clone the repository (if applicable):
git clone https://github.com/Nebula-Block-Data/api-mcp cd mcp-project
-
Create a virtual environment: It's highly recommended to use a virtual environment to manage project dependencies.
python3 -m venv .venv
-
Activate the virtual environment:
- macOS/Linux:
source .venv/bin/activate
- Install dependencies:
This project uses
pyproject.toml
for dependency management. Installsetuptools
and then the project in editable mode.This will installuv pip install -e .
fastmcp
and any other dependencies specified inpyproject.toml
.
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'
The NebulaBlock API key can be configured in two ways:
-
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. -
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.
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.
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 youruv
executable. - Replace
~/path/to/nebulablock_mcp
with the actual path to your project directory. - Replace
YOUR_API_KEY
with your actual NebulaBlock API key.
This project is licensed under the MIT License. See the LICENSE
file (if created) for details.