> For the complete documentation index, see [llms.txt](https://v2.dataos.info/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://v2.dataos.info/consume/consume-with-ai/connect-agentic-frameworks/langchain.md).

# LangChain

Connecting Data Product MCP to a LangChain agent lets it answer from governed Data Products instead of guessing. The `langchain-mcp-adapters` package registers DataOS tools so your agent works with trusted, authorized data.

See the [LangChain MCP documentation](https://docs.langchain.com/oss/python/langchain/mcp) for adapter setup, transports, and advanced configuration.

From the Data Product page, select **Activate → MCP**, then select **View install guide** on the **LangChain** card under **Agentic Framework** to open the step-by-step guide.

![LangChain install guide showing the package install and Python configuration](/files/Akly9DbLWL5lnxWTmqa8)

## Prerequisites

* Python 3.9 or later.
* Your DataOS instance URL (e.g. `engdev-052326.dataos.cloud`).
* A DataOS API token. Generate one from [Home → Generate API tokens](/consume/get-started/readme-1.md#get-a-dataos-api-token).

## Steps

**1. Install the `langchain-mcp-adapters` package.**

```bash
pip install langchain-mcp-adapters
```

**2. Connect the Data Product MCP to your LangChain application.**

Follow the [LangChain MCP documentation](https://docs.langchain.com/oss/python/langchain/mcp#http) to initialize an MCP client using HTTP transport. Use the following DataOS-specific values:

| Parameter    | Value                                           |
| ------------ | ----------------------------------------------- |
| Transport    | `http`                                          |
| URL          | `https://<instance-url>/dataproduct-mcp/api/v1` |
| Header key   | `apikey`                                        |
| Header value | Your DataOS API token                           |

{% hint style="warning" %}
**API token security.** API tokens are secrets. Don't commit them to source control. Pass the token through an environment variable rather than hardcoding it in your application code.
{% endhint %}

## Verify the connection

Run the script and confirm `get_tools()` returns Data Product MCP tools from your DataOS instance. Then ask your agent:

```
What Data Products am I authorized to access?
```

If the connection works, the agent returns Data Products scoped to your token and permissions.


---

# Agent Instructions
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## Querying This Documentation
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