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langchain-box-mcp-adapter

@box-community

代码仓库

关于 langchain-box-mcp-adapter

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

#langchain#mcp-adapter#box-integration

基本信息

分类

AI 与智能体

许可证

MIT

运行时

python

传输方式

stdio

发布者

box-community

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"
      ]
    }
  }
}

工具

未检测到工具

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.

FAQ from langchain-box-mcp-adapter

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.

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.

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.

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.

Is there a license for this project?

Yes, the project is licensed under the MIT License.

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