iflow-mcp_hungson175-wm_mcp

# FRED Macroeconomic Data MCP Server A Model Context Protocol (MCP) server that provides access to Federal Reserve Economic Data (FRED) through Claude and other LLM clients. This server exposes FRED economic data series, search capabilities, and data retrieval tools. ## Features - Access to common FRED economic indicators (GDP, Employment, Inflation, etc.) - Search functionality for FRED data series - Real-time data fetching from FRED API - Standardized data format for LLM consumption - Built using the MCP Python SDK for seamless integration ## Prerequisites - Python 3.11 or higher - [uv](https://github.com/astral-sh/uv) - Modern Python package installer - [Claude Desktop](https://claude.ai/download) for local usage - FRED API Key (get one from [FRED API](https://fred.stlouisfed.org/docs/api/api_key.html)) ## Installation 1. Clone the repository: ```bash git clone https://github.com/yourusername/WM_mcp.git cd WM_mcp ``` 2. Create and activate a virtual environment using uv: ```bash uv venv source .venv/bin/activate # On Windows, use `.venv\Scripts\activate` ``` 3. Install dependencies using uv: ```bash uv pip install "mcp[cli]>=1.6.0" "colorama>=0.4.6" "numpy>=2.2.4" "pandas>=2.2.3" "python-dotenv>=1.1.0" "requests>=2.32.3" ``` 4. Set up environment variables: ```bash cp .env.example .env ``` Edit `.env` and add your FRED API key: ``` FRED_API_KEY=your_fred_api_key_here ``` ## Installing in Claude Desktop 1. Make sure Claude Desktop is installed and running 2. Open Claude Desktop settings: - Go to Settings > Developer > Edit Config - Add the following configuration to your `claude_desktop_config.json`: ```json { "mcpServers": { "FRED Macroeconomic Data Server": { "command": "/path/to/your/.local/bin/uv", "args": [ "--directory", "/path/to/your/WM_mcp", "run", "fred_macroeco_server.py" ] } } } ``` Replace `/path/to/your/` with your actual paths. You can find uv's path by running `which…