Spinitron V2 API

MCP Server generated by mcp.ag2.ai

python

0

GitHub Stars

python

Language

7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "ag2-mcp-servers-spinitron-v2-api": {
      "command": "python",
      "args": [
        "mcp_server/main.py",
        "stdio"
      ],
      "env": {
        "CONFIG": "{...}",
        "SECURITY": "YOUR_API_KEYS",
        "CONFIG_PATH": "mcp_server/mcp_config.json"
      }
    }
  }
}

This MCP Server provides a controllable gateway to the Spinitron V2 API using the Model Context Protocol, allowing clients to interact with the API through a consistent MCP interface. It runs locally and can be started in a standard input/output (stdio) mode or other transport modes, enabling efficient development, testing, and integration with MCP clients.

How to use

Start the server in stdio mode to interact with it through your development environment. Run your MCP client against the local process, sending requests and receiving responses as you would with any MCP server. Use the environment configuration options to specify how the server should load its configuration and security parameters.

How to install

Prerequisites: Python 3.9+ and uv (or a compatible Python runtime with uvicorn-like capabilities). Ensure you have a working Python environment and a shell or terminal.

Install the server package and dependencies in editable/development mode when you are actively developing or testing features.

Steps to install and run the server in a typical development setup:

git clone <repository-url>
cd mcp_server
pip install -e ".[dev]"
# Alternative with uv if you prefer
uv pip install --editable ".[dev]"

Additional sections

Configuration and running options are designed to be flexible for local development and testing. You can start the server in stdio mode, which runs a Python process that accepts MCP commands on standard I/O. The server reads configuration and security parameters from environment variables or a JSON configuration file.

Environment variables you may use to configure runtime behavior include the following:

CONFIG_PATH: Path to a JSON configuration file (for example, mcp_server/mcp_config.json).
CONFIG: A JSON string containing the configuration used by the server.
SECURITY: Environment variables for security parameters such as API keys.

Available tools

start_server

Launch the MCP server in the desired transport mode (e.g., stdio) and load configuration from environment variables or a JSON config file.

load_config

Read and parse the MCP configuration from CONFIG_PATH or CONFIG to configure endpoints, security, and transport.