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Langchain Box MCP Adapter

@box-community

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT

传输方式

stdio

作者

box-community

关于 Langchain Box MCP Adapter

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

#langchain#mcp-adapter#box-integration

Langchain Box MCP Adapter 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "langchain-box-mcp-adapter": {
      "command": "uv",
      "args": [
        "run",
        "src/simple_client.py"
      ]
    }
  }
}

Langchain Box MCP Adapter 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is langchain-box-mcp-adapter?

This sample project implements the Langchain MCP adapter to the Box MCP server, demonstrating how to integrate Langchain with a Box MCP server using tools and agents.

How to use langchain-box-mcp-adapter?

Clone the repository, install dependencies with uv sync, create a .env file with the required credentials (LangSmith, OpenAI, Box), and ensure the Box MCP server is accessible. Update the StdioServerParameters path in src/simple_client.py or src/graph.py with the correct path to your MCP server. Run the simple client with uv run src/simple_client.py or the graph-based agent via langgraph dev.

Key features of langchain-box-mcp-adapter

  • Langchain integration using ChatOpenAI model.
  • Connects to Box MCP server via stdio transport.
  • Dynamically loads tools from the MCP server.
  • Creates a React-style agent for user prompts.
  • Provides rich console output with markdown and typewriter effects.

Use cases of langchain-box-mcp-adapter

  • Interact with Box data through an AI agent in a console application.
  • Build complex workflows using the LangGraph-based agent.
  • Demonstrate the Langchain-MCP adapter pattern for Box integration.

常见问题

1

What dependencies are required?

Python 3.13 or higher, and packages: `langchain-mcp-adapters>=0.0.8`, `langchain-openai>=0.3.12`, `langgraph>=0.3.29`, and `rich>=14.0.0`.

2

How is the connection to Box MCP set up?

The adapter uses `stdio` transport with `StdioServerParameters` pointing to the Box MCP server script, configured via command `uv`.

3

What credentials are needed?

API keys for LangSmith and OpenAI, plus Box client ID, client secret, subject type, and subject ID, all placed in a `.env` file.

4

Can I run a graph-based agent?

Yes, by invoking the `make_graph` function in `src/graph.py` and running `langgraph dev` with the provided configuration.

5

Is there a license for this project?

Yes, the project is licensed under the MIT License.

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