Langchain Box MCP Adapter

@box-community

Repository

Basic information

About 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 config

Add this server to your MCP-compatible client using the configuration below.

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

Langchain Box MCP Adapter tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Frequently asked questions

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.

Comments

More AI & Agents MCP servers

Ranla

Kurtis Tryber

AI growth agent for software businesses. Ranla ships pages that rank on Google, gets your product named in AI answers, replies on Reddit and sends lifecycle email. Ask how growth is going, have Ranla draft the work and a

Gemina

Gemina Tech Ltd.

Extract, search and tag any document — invoices, receipts, contracts, forms, or your own templates. 13 tools, one sign-in (OAuth 2.1) or API key, free FileTag tier, data residency in the EU, US, Israel or Asia.

q-ring

I4cTime

Quantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation — CLI + 44 MCP tools.

GoBuy - Product Trust

gobuy-ai

GoBuy gives AI agents marketplace-evidence trust scores. One call returns a 0–100 Evidence Score with observed/missing signals, freshness, and product context. Tools: • check_product_trust — inspect one Amazon, Walmart,

Legion MCP

faulkj

MCP-native LLM councils for debates, juries, blind panels, voting, refinement, and custom multi-model deliberation.