Nebulablock MCP Server

@Nebula-Block-Data

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

Nebula-Block-Data

提交者

leo zhang

关于 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

Nebulablock MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Nebulablock MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

—

常见问题

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.

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