BLS

概要

BLS is a standalone Model Context Protocol (MCP) server designed to enable large language models (LLMs) to interact with Bureau of Labor Statistics (BLS) data. Built with the official MCP Python SDK, it provides a robust interface for fetching, listing, and gaining insights into BLS economic series. Initially leveraging realistic mock BLS data for rapid development and testing, it supports both local (stdio) and remote (SSE via ngrok) connections, ensuring compatibility with various LLM clients like Claude and GPT-4 through its modular design.

主な機能

• Built with the official MCP Python SDK for full protocol control.
• Utilizes realistic mock BLS data for rapid development and testing.
• Supports multiple transport methods including stdio (local) and SSE (remote).
• 0 GitHub stars
• Compatible with various LLM clients like Claude, GPT-4, and other MCP-enabled clients.
• Features a modular design with clear separation of tools, resources, and data providers.

ユースケース

• Enabling LLMs to query and analyze Bureau of Labor Statistics economic data.
• Rapid prototyping and testing of LLM applications that require access to BLS data.
• Integrating BLS data access capabilities into AI agents and conversational interfaces.