
langchain-box-mcp-adapter
This sample implements the Langchain MCP adapter to the Box MCP server.
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?
- Building AI-driven applications that require integration with Box services.
- Creating interactive console applications for user engagement.
- 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.
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?
- Building AI-driven applications that require integration with Box services.
- Creating interactive console applications for user engagement.
- 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.