Multi-Server LLM Agent
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Orchestrates multiple tool servers, including web search, weather lookup, and database querying, using an OpenAI LLM agent.
Acerca de
This project sets up a multi-server environment using the Multi-Channel Protocol (MCP), enabling an OpenAI LLM agent to interact with diverse tools hosted on separate servers. These tools range from fetching web search results (DuckDuckGo) and weather information (Open-Meteo API) to providing random facts and querying a PostgreSQL database. The client intelligently combines these tools to answer user queries, showcasing a modular architecture with explicit tool registration and independent MCP server instances.
Características Principales
- Features modular code structure with explicit tool registration.
- Uses an OpenAI LLM agent for intelligent tool orchestration.
- 0 GitHub stars
- Includes separate MCP instances for server isolation.
- Exposes tools such as web search, weather, random facts, and PostgreSQL queries.
Casos de Uso
- Answering complex queries by combining information from multiple sources.
- Automating tasks that require interaction with various APIs and databases.
- Building intelligent agents capable of accessing and utilizing a wide range of tools.
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