MCP Server generated by mcp.ag2.ai
Configuration
View docs{
"mcpServers": {
"ag2-mcp-servers-real-time-bidding-api": {
"command": "python",
"args": [
"mcp_server/main.py",
"stdio"
],
"env": {
"CONFIG": "JSON string containing the configuration",
"SECURITY": "Environment variables for security parameters such as API keys",
"CONFIG_PATH": "Path to a JSON config like mcp_server/mcp_config.json"
}
}
}
}You run an MCP Server that exposes a machine-readable interface for a specific API via a standardized transport. This lets clients query, fetch, and interact with the Real-Time Bidding API in a consistent, protocol-agnostic way, enabling efficient integration and testing across services and applications.
Start the MCP server locally in stdio mode so you can interact with it from other processes. The server is invoked through Python and runs a single entry script that handles the MCP protocol over standard input and output channels. Once running, you can point an MCP client at it and perform supported operations such as querying data sources and triggering actions defined by the MCP interface.
# Prerequisites
# Ensure you have Python 3.9+ and a functioning Python environment
# Install runtime dependencies (development helpers)
# Option A: install via pip in editable mode (preferred for quick local development)
pip install -e ".[dev]"
# Option B: use uv to manage installation and execution
uv pip install --editable ".[dev]"
# Run the server in stdio mode
python mcp_server/main.py stdioConfigure how the MCP server loads its settings using environment variables. The following variables are recognized:"CONFIG_PATH" points to a JSON configuration file (for example, mcp_server/mcp_config.json). If you prefer to pass configuration directly, use the JSON string in the "CONFIG" variable. You can also set security-related parameters via "SECURITY" for API keys or other access controls.
Environment variable usage at runtime:
If the server does not start as expected, check that Python 3.9+ is installed and that the entry script path (mcp_server/main.py) exists in your working directory. Ensure any required configuration values are provided through CONFIG_PATH or CONFIG, and confirm you are starting the server in stdio mode as shown in the start command.
The project uses several tooling helpers to maintain code quality and reliability. You can run them locally to validate your setup and catch issues early.
Lints and formats the codebase to maintain style and detect issues early.
Performs static type checking to ensure type correctness across the project.
Runs the test suite to verify functionality and catch regressions.
Runs a set of hooks before each commit to enforce quality checks.