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Model Context Protocol ([MCP](https://modelcontextprotocol.io/introduction)) is an open protocol that standardizes how applications provide context to LLMs. MCP servers make building advanced integrations simpler and less time consuming.
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Box MCP Server allows third party AI agents from platforms like Copilot Studio, Cursor, Claude for Desktop to access Box content seamlessly. It extends the agent’s capabilities by allowing it to perform actions related to content stored in Box.
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Box MCP Server allows third party AI agents from platforms like Copilot Studio, Cursor, Mistral AI, Claude, Mistral Le Chat to access Box content seamlessly. It extends the agent’s capabilities by allowing it to perform actions related to content stored in Box.
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There are two types of Box MCP Servers:
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# Remote Box MCP Server
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The remote BoxMCP Server allows third party AI systems to securely connect and interact with your content in Box.
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[Remote MCP Server](https://modelcontextprotocol.io/introduction) is a standardized way for AI Agents to connect and interact with third-party applications like Box, enabling seamless access to content and AI capabilities across platforms. The Box MCP Server acts as a bridge that allows leading AI Agent platforms — such as Copilot Studio, Claude Enterprise, Mistral Le Chat — to securely query and utilize Box data and AI-powered tools without exposing raw file content. Through OAuth authorization, users can grant AI Agents controlled access to their Box accounts, enabling intelligent document handling, advanced search, and multi-file AI queries directly within these external AI environments.
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## Access and manage predefined Box MCP Servers
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1. Click **Integrations** in the sidebar of Box Admin Console.
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2. Click **Box Integrations & Clients** in the Integrations window.
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3. Scroll down to **Individual Integration Controls**.
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4. Search for predefined Box MCP Server, for example the **Box MCP Server for Copilot Studio**.
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5. Hover on the chosen integration, then click **Configure**.
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6. Click Save.
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2. Use *Categories* filter and choose MCP or search for a predefined Box MCP Server in the search field search at the top of the window.
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3. Beside the selected MCP server, click the state, then select the state you want to enable.
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## Create an unlisted Box MCP Server
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To create a new, unlisted Box MCP Server:
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## Create an unlisted Box MCP Server
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1. Click Integrations in the sidebar of Box Admin Console.
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2. Scroll down to **Individual Integration Controls** in the Box Integrations & Clients tab.
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3. Search for **Box MCP Server**.
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2. Search for **Box MCP Server** in the search field search at the top of the window.
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4. Hover on the **Box MCP Server** application, then click **Configure**.
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5. In the **Additional Configuration** section, click on **+ Add Integration Credentials**.
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6.Enter the Redirect URI provided by the external MCP Client.
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7.Copy the generated Client ID and Client Secret.
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6.Copy the generated Client ID and Client Secret.
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7.Enter the Redirect URI provided by the external MCP Client.
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8. Under Scopes, ensure that *Manage AI Requests* is selected.
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## Add Box MCP Server to MCP clients
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## Add Box MCP Server on the Client Side
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To connect to Box from the AI Agent platform, you need to:
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* Add an endpoint URL: `https://mcp.box.com`
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* Endpoint URL: `https://mcp.box.com`
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* Client ID and Client Secret: Box generates these in the Integration Credentials section of your Admin Console when configuring the Box MCP Server, above.
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* Pass an MCP name: `box-remote-mcp`
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* Provide an `authorization_token`
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### Anthropic's Messages API
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### Claude Desktop
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To start using the remote Box MCP server in [Claude Desktop](https://claude.ai/download), go to Claude app settings and click *Connectors*. Within this view click *Browse connectors* and choose Box. Ensure to grant Claude access to Box.
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Connect the remote Box MCP Server with Anthropic's Messages API. Clone [this sample chat bot project](https://github.com/box-community/remote-box-mcp-anthropic) to get started quickly. It allows you to have a conversation with an Anthropic model, which has access to tools provided by the Box remote MCP server. The chatbot runs in a terminal, maintains conversation history for context-aware responses, and uses `asyncio` for asynchronous operation.
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See a demo video that showcases how to connect Box MCP with Mistral Claude desktop.
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<iframewidth="100%"height="500"src="https://www.youtube.com/embed/OJVjXZkPd54?si=PSiV6aKkUnL7CXoG"title="YouTube video player"frameborder="0"allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"referrerpolicy="strict-origin-when-cross-origin"allowfullscreen></iframe>
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### Copilot Studio
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To add an MCP server, follow the instructions provided by the Copilot Studio side. Detailed steps and guidance are available in the official Microsoft documentation: [Add an MCP Server in Copilot Studio](https://learn.microsoft.com/en-us/microsoft-copilot-studio/agent-extend-action-mcp#add-tools-from-an-existing-mcp-connector-to-an-agent).
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To add the remote Box MCP server, follow the instructions provided by the Copilot Studio side. Detailed steps and guidance are available in the official Microsoft documentation: [Add an MCP Server in Copilot Studio](https://learn.microsoft.com/en-us/microsoft-copilot-studio/agent-extend-action-mcp#add-tools-from-an-existing-mcp-connector-to-an-agent).
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### Azure API Center
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To add an MCP server in Azure API Center's Enterprise Registry, follow the instructions provided by Azure. Detailed steps and guidance are available in the official Microsoft documentation: [Add an MCP Server in Azure API Center's Enterprise Registry](https://learn.microsoft.com/en-us/azure/api-center/register-discover-mcp-server).
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To add the remote Box MCP server in Azure API Center's Enterprise Registry, follow the instructions provided by Azure. Detailed steps and guidance are available in the official Microsoft documentation: [Add an MCP Server in Azure API Center's Enterprise Registry](https://learn.microsoft.com/en-us/azure/api-center/register-discover-mcp-server).
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### Anthropic's Messages API
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Connect the remote Box MCP Server with [Anthropic's Messages API](https://docs.anthropic.com/en/api/messages). Clone [this sample chat bot project](https://github.com/box-community/mcp-client-remote-mcp-react) to get started quickly. It allows you to have a conversation with an Anthropic model, which has access to tools provided by the Box remote MCP server.
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Watch a video that features a demo project, a React based chat bot that leverages remote Box MCP.
To enable Box MCP for [Mistral AI’s Le Chat](https://chat.mistral.ai/chat), visit [connectors page](https://chat.mistral.ai/connections), click *Connect* and grant access to Box. Alternatively, directly form the chat view, click *Tools* and choose Box.
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### Using Box AI Features with the MCP Server
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When you use Box AI in thirdparty applications, you can achieve the best experience and highest quality results by accessing the applications through the Box MCP Server. This ensures full functionality, improved performance, and a seamless user experience.
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When you use Box AI in third-party applications, you can achieve the best experience and highest quality results by accessing the applications through the Box MCP Server. This ensures full functionality, improved performance, and a seamless user experience.
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## Available tools
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Remote Box MCP Server includes several tools you can use:
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| Tool| Description|
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| Tool| Description|
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|--------|--------|
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|`box-remote-mcp_who_am_i`| Returns detailed information about the currently authenticated Box user.|
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|`box-remote-mcp_search_folders_by_name`| Searches for folders within Box by name using keyword matching.|
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|`box-remote-mcp_list_folder_content_by_folder_id`| Lists files, folders, and web links in a folder. |
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|`box-remote-mcp_search_files_keyword`| Searches for files using keywords. Supports metadata filters, file extension filtering, and field selection.|
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|`box-remote-mcp_search_files_metadata`| Searches for files using SQL-like metadata queries. Supports complex filtering with parameters, field selection, and folder scoping.|
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|`box-remote-mcp_ai_qa_single_file`| Asks a question to a single file using Box AI.|
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|`box-remote-mcp_ai_qa_multi_file`| Asks a question to multiple files using Box AI.|
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|`box-remote-mcp_ai_qa_hub`| Asks a question to a Box Hub using Box AI.|
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|`box-remote-mcp_ai_extract_freeform`| Extracts metadata from files using Box AI in freeform format without requiring predefined template structures.|
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|`box-remote-mcp_ai_extract_structured`| Extracts structured metadata from files using Box AI based on either custom fields definition or an existing metadata template.|
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|`who_am_i`| Returns detailed information about the currently authenticated Box user.|
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|`get_file_content`| Returns content of a file stored in Box |
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|`search_folders_by_name`| Searches for folders within Box by name using keyword matching.|
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|`list_folder_content_by_folder_id`| Lists files, folders, and web links in a folder. |
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|`search_files_keyword`| Searches for files using keywords. Supports metadata filters, file extension filtering, and field selection.|
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|`search_files_metadata`| Searches for files using SQL-like metadata queries. Supports complex filtering with parameters, field selection, and folder scoping.|
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|`ai_qa_single_file`| Asks a question to a single file using Box AI.|
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|`ai_qa_multi_file`| Asks a question to multiple files using Box AI.|
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|`ai_qa_hub`| Asks a question to a Box Hub using Box AI.|
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|`ai_extract_freeform`| Extracts metadata from files using Box AI in freeform format without requiring predefined template structures.|
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|`ai_extract_structured`| Extracts structured metadata from files using Box AI based on either custom fields definition or an existing metadata template.|
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