LangGraph Client

About

This project provides a low-level example of using LangGraph to interact with a Model Context Protocol (MCP) server connected to a PostgreSQL database. It showcases how to leverage LangGraph agents to query and retrieve data from the database through the MCP server, facilitating context retrieval for language models.

Key Features

• Uses fast agent templating for agent creation.
• Creates MCP tools from a PostgreSQL database.
• 1 GitHub stars
• Streams output to a file.
• Leverages a PostgreSQL database for data storage and retrieval.

Use Cases

• Demonstrating interaction between LangGraph and MCP servers
• Building LLM agents that require access to PostgreSQL database context
• Creating context-aware AI applications using PostgreSQL data