langchain-box-mcp-adapter

langchain-box-mcp-adapter

By box-community GitHub

This sample implements the Langchain MCP adapter to the Box MCP server.

langchain mcp-adapter
Overview

What is langchain-box-mcp-adapter?

The langchain-box-mcp-adapter is a sample project that implements the Langchain MCP adapter to the Box MCP server, demonstrating how to integrate Langchain with a Box MCP server using various tools and agents.

How to use langchain-box-mcp-adapter?

To use the adapter, clone the repository, install the required dependencies, set up the environment variables in a .env file, and ensure the MCP server is accessible. You can then run the simple client or the graph-based agent to interact with the AI capabilities.

Key features of langchain-box-mcp-adapter?

  • Integration with Langchain's ChatOpenAI model for AI interactions.
  • Communication with the Box MCP server using stdio transport.
  • Dynamic loading of tools from the MCP server.
  • Creation of a React-style agent for handling user prompts.
  • User-friendly console interface with markdown rendering and typewriter effects.

Use cases of langchain-box-mcp-adapter?

  1. Building AI-driven applications that require integration with Box services.
  2. Creating interactive console applications for user engagement.
  3. Developing complex workflows using the graph-based agent.

FAQ from langchain-box-mcp-adapter?

  • What programming language is used in this project?

The project is implemented in Python.

  • Is there a license for this project?

Yes, it is licensed under the MIT License.

  • How can I contribute to this project?

Contributions are welcome! You can open an issue or submit a pull request for improvements or bug fixes.

Overview

What is langchain-box-mcp-adapter?

The langchain-box-mcp-adapter is a sample project that implements the Langchain MCP adapter to the Box MCP server, demonstrating how to integrate Langchain with a Box MCP server using various tools and agents.

How to use langchain-box-mcp-adapter?

To use the adapter, clone the repository, install the required dependencies, set up the environment variables in a .env file, and ensure the MCP server is accessible. You can then run the simple client or the graph-based agent to interact with the AI capabilities.

Key features of langchain-box-mcp-adapter?

  • Integration with Langchain's ChatOpenAI model for AI interactions.
  • Communication with the Box MCP server using stdio transport.
  • Dynamic loading of tools from the MCP server.
  • Creation of a React-style agent for handling user prompts.
  • User-friendly console interface with markdown rendering and typewriter effects.

Use cases of langchain-box-mcp-adapter?

  1. Building AI-driven applications that require integration with Box services.
  2. Creating interactive console applications for user engagement.
  3. Developing complex workflows using the graph-based agent.

FAQ from langchain-box-mcp-adapter?

  • What programming language is used in this project?

The project is implemented in Python.

  • Is there a license for this project?

Yes, it is licensed under the MIT License.

  • How can I contribute to this project?

Contributions are welcome! You can open an issue or submit a pull request for improvements or bug fixes.

No tools information available.

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