Run the weather server in a separate terminal

Created By

juananpea year ago

LangGraph agent integrated with MCP (Model Context Protocol) servers for math and weather services

Overview

what is LangGraph-MCP?

LangGraph-MCP is an integrated agent that connects with Model Context Protocol (MCP) servers to provide math and weather services.

how to use LangGraph-MCP?

To use LangGraph-MCP, set up a virtual environment, install the required packages, and run the weather server in a separate terminal before executing the agent.

key features of LangGraph-MCP?

Integration with MCP for seamless math and weather services
Ability to run multiple servers concurrently
Easy setup with Python virtual environments

use cases of LangGraph-MCP?

Providing real-time weather updates alongside math problem-solving capabilities.
Enabling developers to create applications that require both weather data and mathematical computations.
Supporting educational tools that combine weather information with math learning.

FAQ from LangGraph-MCP?

What programming language is LangGraph-MCP built with?

LangGraph-MCP is built using Python.

How do I install LangGraph-MCP?

You can install it by setting up a virtual environment and running the command pip install -r pyproject.toml.

Can I run the weather server and math server simultaneously?

Yes! You can run both servers in separate terminals.

Project Info

Created At

a year ago

Updated At

a year ago

Author Name

juananpe

Star

Language

Python

License

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