home / mcp / lol v3 stats mcp server

Lol V3 Stats MCP Server

MCP Server generated by mcp.ag2.ai

Installation

Add the following to your MCP client configuration file.

Configuration

{
  "mcpServers": {
    "ag2-mcp-servers-lol-v3-stats": {
      "command": "python",
      "args": [
        "mcp_server/main.py",
        "stdio"
      ],
      "env": {
        "CONFIG": "JSON string containing configuration",
        "SECURITY": "Environment variables for security parameters (e.g., API keys)",
        "CONFIG_PATH": "mcp_server/mcp_config.json"
      }
    }
  }
}

You run an MCP (Model Context Protocol) Server to expose a sports data source through a configurable transport, enabling clients to request and receive model context data efficiently. This guide shows you how to use the server, install and run it locally, and configure environment variables and startup options for secure, reliable access.

How to use

Start the server in stdio mode to run locally and interact with MCP clients in-process. The server accepts configuration via environment variables or a JSON config file and can be started with a single Python command. Use the standard MCp client workflow to connect, request data, and receive responses through the chosen transport.

How to install

# Prerequisites
- Python 3.9+
- pip or uv

# Clone the server repository (replace with your own URL if you publish elsewhere)
git clone <repository-url>
cd mcp_server

# Install dependencies (use this if you are not running inside a dev container)
pip install -e ".[dev]"
# Alternatively, you can use uv to install in editable mode
uv pip install --editable ".[dev]"

# Run tests and development tooling (optional but recommended during development)
./scripts/static-analysis.sh
./scripts/test.sh
```

Prepare to start the server after installation with the stdio transport command.

Additional configuration and startup

You can configure the server using an environment-based or file-based configuration. The primary startup command for running the MCP server locally in stdio mode is shown here. Use this exact command to begin serving MCP data.

python mcp_server/main.py stdio
```

If you prefer to supply a configuration file, you can set the path to a JSON configuration file with CONFIG_PATH, or provide a JSON string via CONFIG. You can also set SECURITY-related environment variables to secure access to the MCP endpoints.

Notes on configuration and security

Environment variables let you customize how the server starts and what data sources to expose. Typical variables include CONFIG_PATH, CONFIG, and SECURITY. Provide a path to your JSON configuration file for easy reuse across environments, or embed the configuration directly in the CONFIG variable.

Available tools

lint

Run linting with ruff to enforce code quality and style.

format

Format code with ruff to maintain consistent styling.

static-analysis

Perform static analysis (mypy, bandit, semgrep) to catch issues early.

tests

Run tests with pytest and generate coverage reports.

pre-commit

Manage pre-commit hooks to ensure code quality before commits.