575cde3e8d* add some related links * admonitions audit * initial prereq audit * standardize install LF prereqs * some coderabbit
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---
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title: Connect an Astra DB MCP server to Langflow
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slug: /mcp-component-astra
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---
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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import Icon from "@site/src/components/icon";
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This guide demonstrates how to [use Langflow as an MCP client](/mcp-client) by using the **MCP Tools** component to run a [DataStax Astra DB MCP server](https://github.com/datastax/astra-db-mcp) in an agentic flow.
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1. Install an LTS release of [Node.js](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm).
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2. Create an [OpenAI](https://platform.openai.com/) API key.
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3. Create an [Astra DB Serverless (Vector) database](https://docs.datastax.com/en/astra-db-serverless/databases/create-database.html#create-vector-database), if you don't already have one.
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4. Get your database's Astra DB API endpoint and an Astra application token with the **Database Administrator** role. For more information, see [Generate an application token for a database](https://docs.datastax.com/en/astra-db-serverless/administration/manage-application-tokens.html#database-token).
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5. To follow along with this guide, create a flow based on the [**Simple Agent** template](/simple-agent).
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You can also use an existing flow or create a blank flow.
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6. Remove the **URL** tool, and then replace it with an [**MCP Tools** component](/mcp-client).
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7. Configure the **MCP Tools** component as follows:
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1. Select **Stdio** mode.
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2. In the **MCP server** field, add the following code to connect to an Astra DB MCP server:
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```bash
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npx -y @datastax/astra-db-mcp
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```
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3. In the **Env** fields, add variables for `ASTRA_DB_APPLICATION_TOKEN` and `ASTRA_DB_API_ENDPOINT` with the values from your Astra database.
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:::important
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Environment variables declared in your Langflow `.env` file can be referenced in your MCP server commands, but you cannot reference global variables declared in Langflow.
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If you want to use variables for `ASTRA_DB_APPLICATION_TOKEN` and `ASTRA_DB_API_ENDPOINT`, add them to Langflow's `.env` file, and then restart Langflow.
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For more information, see [global variables](/configuration-global-variables).
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:::
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Add each variable separately.
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To add another variable field click <Icon name="Plus" aria-hidden="true"/> **Add More**.
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```bash
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ASTRA_DB_APPLICATION_TOKEN=AstraCS:...
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```
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```bash
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ASTRA_DB_API_ENDPOINT=https://...-us-east-2.apps.astra.datastax.com
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```
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8. In the **Agent** component, add your **OpenAI API key**.
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The default model is an OpenAI model.
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If you want to use a different model, edit the **Model Provider**, **Model Name**, and **API Key** fields accordingly.
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9. Open the **Playground**, and then ask the agent, `What collections are available?`
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Since Langflow is connected to your Astra DB database through the MCP server, the agent chooses the correct tool and connects to your database to retrieve the answer.
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For example:
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```text
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The available collections in your database are:
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collection_002
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hardware_requirements
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load_collection
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nvidia_collection
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software_requirements
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``` |