CONFIGURATION.md

Configuration Guide

The HF EDA MCP Server uses a centralized configuration system that supports both environment variables and command-line arguments.

Configuration Module

The configuration is managed by the src/hf_eda_mcp/config.py module, which provides:

• ServerConfig dataclass with all configuration options
• Environment variable loading with ServerConfig.from_env()
• Global configuration management with get_config() and set_config()
• Logging setup and validation utilities

Configuration Options

Server Settings

• HF_EDA_PORT (default: 7860) - Server port
• HF_EDA_HOST (default: 127.0.0.1) - Server host
• HF_EDA_MCP_ENABLED (default: true) - Enable MCP server functionality
• HF_EDA_SHARE (default: false) - Enable public sharing via Gradio

Authentication

• HF_TOKEN - HuggingFace access token for private datasets

Logging

• HF_EDA_LOG_LEVEL (default: INFO) - Logging level (DEBUG, INFO, WARNING, ERROR)

Performance and Caching

• HF_EDA_CACHE_DIR - Directory for caching datasets (optional)
• HF_EDA_MAX_CACHE_SIZE (default: 1000) - Maximum cache size in MB
• HF_EDA_MAX_SAMPLE_SIZE (default: 50000) - Maximum sample size for tools
• HF_EDA_MAX_CONCURRENT (default: 10) - Maximum concurrent requests
• HF_EDA_REQUEST_TIMEOUT (default: 300) - Request timeout in seconds

How Configuration is Used

Server Startup

The server loads configuration from environment variables and applies command-line overrides:

from hf_eda_mcp.config import ServerConfig
from hf_eda_mcp.server import launch_server

config = ServerConfig.from_env()
launch_server(config)

Tools Integration

All EDA tools (metadata, sampling, analysis) use the global configuration:

from hf_eda_mcp.config import get_config

config = get_config()
# Tools respect config.max_sample_size, config.cache_dir, config.hf_token

Dataset Service

The DatasetService is initialized with configuration values:

service = DatasetService(
    cache_dir=config.cache_dir,
    token=config.hf_token
)

Configuration Priority

1. Command-line arguments (highest priority)
2. Environment variables
3. Default values (lowest priority)

Example Usage

Environment Variables

export HF_TOKEN="your_token_here"
export HF_EDA_CACHE_DIR="/tmp/hf-cache"
export HF_EDA_MAX_SAMPLE_SIZE=25000
pdm run hf-eda-mcp

Command Line

pdm run hf-eda-mcp --cache-dir /tmp/cache --max-sample-size 25000 --verbose

Configuration File

Copy config.example.env to .env and modify as needed, then load with:

source .env
pdm run hf-eda-mcp

Validation

The configuration system includes validation for:

• Port ranges (1024-65535)
• Cache directory permissions
• Sample size limits
• Timeout values

Invalid configurations will cause the server to exit with helpful error messages.