> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tavily.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Microsoft Azure

> Integrate Tavily Remote MCP with Microsoft Azure AI Foundry and Azure MCP Center for seamless AI agent development.

## Overview

Tavily Remote MCP is now available on Microsoft Azure, providing seamless integration for developers building AI agents and workflows. By being listed on Azure MCP Center and included in Azure AI Foundry's Tools Catalog, Tavily enables users to easily discover and connect to its powerful capabilities for grounding AI agents with real-time web search and RAG pipelines.

* **[Azure AI Foundry](https://ai.azure.com)** — Tavily is featured in the Tools Catalog of Azure AI Foundry, making it easy for users to add Tavily to their AI agent workflows and leverage its capabilities for real-time information retrieval and grounding.

* **[Azure MCP Center](https://mcp.azure.com/detail/tavily-mcp)** — Tavily Remote MCP is listed on Azure's MCP Center (part of Azure API Center), enabling developers to discover and connect to Tavily directly.

## Prerequisites

* [Microsoft Azure account](https://azure.microsoft.com/) with active subscription for signing in to [Azure AI Foundry](https://ai.azure.com)
* [Tavily API Key](https://app.tavily.com/home) for connecting the Tavily Remote MCP to Azure AI Foundry

## Setup

### Azure AI Foundry

<Steps>
  <Step title="Visit Azure AI Foundry">
    Go to [Azure AI Foundry](https://ai.azure.com/) and sign in with your
    Microsoft Azure account.
  </Step>

  <Step title="Toggle on the New Foundry">
    On the top bar, toggle on the **New Foundry** to switch from Microsoft
    Foundry (classic) to Microsoft Foundry (New).

    <Frame>
      <img src="https://mintcdn.com/tavilyai/81I2ycwwTxdJ2H71/images/partnerships/azure/toggle.png?fit=max&auto=format&n=81I2ycwwTxdJ2H71&q=85&s=f0c7c209c47802bd207f9ba774ce1e74" alt="Toggle on New Foundry experience in Azure AI Foundry" width="3546" height="2070" data-path="images/partnerships/azure/toggle.png" />
    </Frame>
  </Step>

  <Step title="Select or create a new project">
    A pop-up will appear to select an existing project or create a new one.
    Select the project you want to work on or create a new project to get
    started.

    <Frame>
      <img src="https://mintcdn.com/tavilyai/81I2ycwwTxdJ2H71/images/partnerships/azure/select.png?fit=max&auto=format&n=81I2ycwwTxdJ2H71&q=85&s=3fcb0d260358658c519ba880da1059d6" alt="Select or create a new project in Azure AI Foundry" width="3546" height="2070" data-path="images/partnerships/azure/select.png" />
    </Frame>
  </Step>

  <Step title="Enter Project Details">
    Fill in the required project details such as Foundry resource, subscription,
    region, and resource group to set up your project environment to create a
    new project in Microsoft Foundry(new).

    <Frame>
      <img src="https://mintcdn.com/tavilyai/81I2ycwwTxdJ2H71/images/partnerships/azure/details.png?fit=max&auto=format&n=81I2ycwwTxdJ2H71&q=85&s=a23ff03791e720d85cffcb49b1c63ff8" alt="Enter project details in Azure AI Foundry" width="3546" height="2070" data-path="images/partnerships/azure/details.png" />
    </Frame>
  </Step>

  <Step title="Create an agent">
    Once your project is set up, click on the **Start Building** button to
    create a new agent within your project.

    <Frame>
      <img src="https://mintcdn.com/tavilyai/81I2ycwwTxdJ2H71/images/partnerships/azure/create-agent.gif?s=0c8db85354bccbce7ba1e93d32201652" alt="Create a new agent in Azure AI Foundry" width="1794" height="1026" data-path="images/partnerships/azure/create-agent.gif" />
    </Frame>
  </Step>

  <Step title="Add Tavily MCP to your agent workflow">
    In the playground interface, navigate to the **Tools** section and search
    for **Tavily MCP** in the catalog. Enter your Tavily API Key to authenticate
    and connect your agent to the Tavily Remote MCP. Once connected, Tavily MCP
    will be available as a tool in your agent's workflow for real-time web
    search and RAG capabilities.

    <Frame>
      <img src="https://mintcdn.com/tavilyai/81I2ycwwTxdJ2H71/images/partnerships/azure/tools.gif?s=ed887a2a71433ea2a8b7d4895e995d1b" alt="Add Tavily MCP to agent workflow in Azure AI Foundry" width="1792" height="1016" data-path="images/partnerships/azure/tools.gif" />
    </Frame>
  </Step>

  <Step title="Start using Tavily MCP in your agent workflow">
    With Tavily MCP added to your agent's tools, you can now use it within your
    agent's workflow to enhance its capabilities with real-time information
    retrieval and grounding for more effective AI agent performance.

    <Frame>
      <img src="https://mintcdn.com/tavilyai/81I2ycwwTxdJ2H71/images/partnerships/azure/tryit.gif?s=2c73f2e4c40c81f2e242d0ea6e2deea0" alt="Use Tavily MCP in agent workflow in Azure AI Foundry" width="1794" height="1016" data-path="images/partnerships/azure/tryit.gif" />
    </Frame>
  </Step>
</Steps>

### Azure MCP Center

<Steps>
  <Step title="Visit Azure MCP Center">
    Go to the [Azure MCP Center](https://mcp.azure.com/) and search for **Tavily
    MCP** to find the listing.
  </Step>

  <Step title="Install in VS Code">
    Click the **Install** button on the Azure MCP Center listing for Tavily MCP
    to add it to your VS Code.

    <Frame>
      <img src="https://mintcdn.com/tavilyai/81I2ycwwTxdJ2H71/images/partnerships/azure/mcpcenter.gif?s=3ec642916e78e2b1ae42e6388f5bbdd4" alt="Search for Tavily in Azure MCP Center" width="1686" height="1316" data-path="images/partnerships/azure/mcpcenter.gif" />
    </Frame>
  </Step>

  <Step title="Authenticate with Tavily Account">
    VS Code will prompt you to authenticate with your Tavily account to connect
    to the Remote MCP. Follow the authentication flow to grant access.

    <Frame>
      <img src="https://mintcdn.com/tavilyai/81I2ycwwTxdJ2H71/images/partnerships/azure/tavilymcpauth.gif?s=42e4e28ff6ee31449b5446d1b7069a00" alt="Authentication prompt for Tavily MCP in VS Code" width="1544" height="1086" data-path="images/partnerships/azure/tavilymcpauth.gif" />
    </Frame>
  </Step>

  <Step title="Start using Tavily MCP with Copilot">
    Use Tavily MCP within VS Code's Copilot to enhance your AI agent development
    with real-time web search and RAG capabilities.
  </Step>
</Steps>

## Resources

* [Build a workflow in Microsoft Foundry](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/concepts/workflow)
* [Use MCP servers in VS Code](https://code.visualstudio.com/docs/copilot/customization/mcp-servers)
* [Tavily MCP Documentation](/documentation/mcp)


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