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This PR introduces a new integration guide for MCP Toolbox. The primary goal of this new documentation is to enhance the discoverability of MCP Toolbox for developers working within the LangChain ecosystem, providing them with a clear and direct path to using our tools. This approach was chosen to provide users with a practical, hands-on example that they can easily follow. > [!NOTE] > The page added in this PR is linked to from a section in Google partners page added in #32356. --------- Co-authored-by: Lauren Hirata Singh <lauren@langchain.dev> Co-authored-by: Mason Daugherty <github@mdrxy.com> Co-authored-by: Mason Daugherty <mason@langchain.dev>
24 lines
1.0 KiB
Plaintext
24 lines
1.0 KiB
Plaintext
# MCP Toolbox
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The [MCP Toolbox](https://googleapis.github.io/genai-toolbox/getting-started/introduction/) in LangChain allows you to equip an agent with a set of tools. When the agent receives a query, it can intelligently select and use the most appropriate tool provided by MCP Toolbox to fulfill the request.
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## What is it?
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MCP Toolbox is essentially a container for your tools. Think of it as a multi-tool device for your agent; it can hold any tools you create. The agent then decides which specific tool to use based on the user's input.
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This is particularly useful when you have an agent that needs to perform a variety of tasks that require different capabilities.
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## Installation
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To get started, you'll need to install the necessary package:
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```bash
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pip install toolbox-langchain
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```
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## Tutorial
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For a complete, step-by-step guide on how to create, configure, and use MCP Toolbox with your agents, please refer to our detailed Jupyter notebook tutorial.
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**[➡️ View the full tutorial here](/docs/integrations/tools/toolbox)**.
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