LangGraph Agent with MCP
Overview
What is LangGraph Agent with MCP?
LangGraph Agent with MCP is a project designed to integrate the Model Context Protocol (MCP) with a LangGraph Agent, enabling dynamic access to external tools, data sources, and APIs.
How to use LangGraph Agent with MCP?
To use this project, clone the repository, install the dependencies, create a .env file with your API keys, and run the MCP server followed by the agent script in your terminal.
Key features of LangGraph Agent with MCP?
- Integration with MCP servers for enhanced AI capabilities
- Automatic tool discovery and multi-server support
- Ability to perform tasks like web searches and summarizing YouTube videos
Use cases of LangGraph Agent with MCP?
- Connecting AI systems to various external data sources.
- Performing automated web searches and data retrieval.
- Summarizing content from platforms like YouTube.
FAQ from LangGraph Agent with MCP?
- What is MCP?
MCP stands for Model Context Protocol, an open standard for AI applications to interact with external data and tools.
- How do I install the project?
Clone the repository, install dependencies, and set up your API keys in a .env file.
- What programming language is used?
The project is developed in Python.
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