Fedspeak MCP Server

A Model Context Protocol (MCP) server for accessing and analyzing Federal Reserve (FOMC) statements.

Overview

This server provides a Model Context Protocol (MCP) interface for accessing and analyzing Federal Reserve (FOMC) statements. It enables semantic search and analysis of FOMC statements while handling all the complexity of data retrieval and processing behind a clean, tool-based interface.

Features

• Search Statements: Semantically search FOMC statements by topic, date, or content
• Metadata Access: Get information about available statements
• Trend Analysis: Analyze language trends in Fed statements over time
• Resource Access: Access full statement content as resources
• Prompt Templates: Use pre-defined prompt templates for common analysis tasks

Installation

Prerequisites

• Python 3.10 or higher
• A running private API server with access to the FOMC database

Install from Source

# Clone the repository
git clone https://github.com/yourusername/fomc-mcp-server.git
cd fomc-mcp-server

# Create a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venvScriptsactivate

# Install the package
# Install with pip
pip install .

# Install with UV (recommended for exact dependency versions)
uv pip install .

Configuration

The server can be configured using environment variables:

• FEDSPEAK_API_ENDPOINT: URL of the backend API service for data operations (default: “https://fedspeak-mcp-backend-671377599496.us-central1.run.app”)
• LOG_LEVEL: Logging level (default: “INFO”)
• LOG_FILE: Log file path (default: “fedspeak_mcp_server.log”)

Note: No additional configuration is needed for data access - all required connections are handled automatically.

Usage

Running the Server

# Run directly
python -m fedspeak

# Or using the installed script
fedspeak

Using with Claude for Desktop

To use with Claude for Desktop, add this server to your Claude configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%Claudeclaude_desktop_config.json

{
  "mcpServers": {
    "fedspeak": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/mk/Documents/Python/AI Playground/mcp/fedspeak/src/fedspeak",
        "run",
        "fedspeak"
      ],
      "env": {
        "FEDSPEAK_API_ENDPOINT": "https://fedspeak-mcp-backend-671377599496.us-central1.run.app"
      }
    }
  }
}

Note: This configuration uses UV to run the fedspeak server in a src-based package structure. The API endpoint connects to the Cloud Run backend service that handles all database operations and FOMC statement retrieval.

Available Tools

• search_fomc_statements: Search Federal Reserve statements semantically
• get_fomc_metadata: Get metadata about available FOMC statements
• analyze_fomc_trends: Analyze trends in Federal Reserve language over time
• get_latest_statement: Get the most recent FOMC statement with full text

Available Prompts

• search-guidance: How to effectively search FOMC statements
• analyze-trends-guidance: How to analyze trends in FOMC language over time
• latest-statement-analysis: How to analyze the latest FOMC statement

License

MIT