Box

Box MCP Server

An MCP server capable of interacting with the Box API.

What is an MCP Server?⁠

Characteristics

Attribute	Details
Docker Image	mcp/box⁠
Author	box-community⁠
Repository	https://github.com/box-community/mcp-server-box⁠
Dockerfile	https://github.com/box-community/mcp-server-box/blob/refs/pull/4/merge/Dockerfile⁠
Docker Image built by	Docker Inc.
Docker Scout Health Score
Verify Signature	COSIGN_REPOSITORY=mcp/signatures cosign verify mcp/box --key https://raw.githubusercontent.com/docker/keyring/refs/heads/main/public/mcp/latest.pub
Licence

Available Tools (36)

Tools Details

Tool: box_ai_ask_file_multi_tool

Ask Box AI about multiple files. This tool allows users to query Box AI with a specific prompt, leveraging the content of multiple files stored in Box. The AI processes the files and generates a response based on the provided prompt.

Tool: box_ai_ask_file_single_tool

Ask Box AI about a single file. This tool allows users to query Box AI with a specific prompt, leveraging the content of a single file stored in Box. The AI processes the file and generates a response based on the provided prompt.

Tool: box_ai_ask_hub_tool

Ask Box AI about a specific hub. This tool allows users to query Box AI with a specific prompt, leveraging the content of a hub in Box. The AI processes the hub and generates a response based on the provided prompt.

Tool: box_ai_extract_freeform_tool

Extract data from files in Box using AI with a freeform prompt.

Tool: box_ai_extract_structured_enhanced_using_fields_tool

Extract structured data from files in Box using AI with specified fields and enhanced processing. This tool allows users to extract structured data from files by specifying the fields they are interested in, with enhanced processing capabilities.

Tool: box_ai_extract_structured_enhanced_using_template_tool

Extract structured data from files in Box using AI with a specified template and enhanced processing. This tool allows users to extract structured data from files by using a predefined template, with enhanced processing capabilities.

Tool: box_ai_extract_structured_using_fields_tool

Extract structured data from files in Box using AI with specified fields. This tool allows users to extract structured data from files by specifying the fields they are interested in. The AI processes the files and extracts the relevant information based on the provided fields.

Tool: box_ai_extract_structured_using_template_tool

Extract structured data from files in Box using AI with a specified template. This tool allows users to extract structured data from files by using a predefined template. The AI processes the files and extracts the relevant information based on the provided template.

Tool: box_authorize_app_tool

Authorize the Box application. Start the Box app authorization process

return: str: Message

Tool: box_docgen_create_batch_tool

Create a new Box Doc Gen batch to generate documents from a template.

Tool: box_docgen_create_single_file_from_user_input_tool

Create a single document from a Doc Gen template using user input.

Tool: box_docgen_get_job_by_id_tool

Retrieve a Box Doc Gen job by its ID.

Tool: box_docgen_list_jobs_by_batch_tool

List Doc Gen jobs in a specific batch.

Tool: box_docgen_list_jobs_tool

List all Box Doc Gen jobs for the current user.

Tool: box_docgen_template_create_tool

Mark a file as a Box Doc Gen template.

Tool: box_docgen_template_get_by_id_tool

Retrieve details of a specific Box Doc Gen template.

Tool: box_docgen_template_get_by_name_tool

Retrieve details of a specific Box Doc Gen template by name.

Tool: box_docgen_template_list_jobs_tool

List Doc Gen jobs that used a specific template.

Tool: box_docgen_template_list_tags_tool

List all tags for a Box Doc Gen template.

Tool: box_docgen_template_list_tool

List all Box Doc Gen templates accessible to the user.

Tool: box_download_file_tool

Download a file from Box and return its content as a string. Supports text files (returns content directly) and images (returns base64-encoded). Other file types will return an error message. Optionally saves the file locally.

Tool: box_list_folder_content_by_folder_id

List the content of a folder in Box by its ID.

Tool: box_manage_folder_tool

Manage Box folders - create, delete, or update.

Tool: box_metadata_delete_instance_on_file_tool

Delete a metadata instance on a file.

Tool: box_metadata_get_instance_on_file_tool

Get a metadata instance on a file.

Tool: box_metadata_set_instance_on_file_tool

Set a metadata instance on a file.

Tool: box_metadata_template_create_tool

Create a metadata template.

Tool: box_metadata_template_get_by_name_tool

Retrieve a metadata template by its name.

Tool: box_metadata_update_instance_on_file_tool

Update a metadata instance on a file.

Tool: box_read_tool

Read the text content of a file in Box.

Tool: box_search_folder_by_name_tool

Locate a folder in Box by its name.

Tool: box_search_tool

Search for files in Box with the given query.

Tool: box_upload_file_from_content_tool

Upload content as a file to Box using the toolkit.

Tool: box_upload_file_from_path_tool

Upload a file to Box from a filesystem path.

Tool: box_who_am_i

Get the current user's information. This is also useful to check the connection status.

return: dict: The current user's information.

Tool: mcp_server_info

Returns information about the MCP server.

Use this MCP Server

{
  "mcpServers": {
    "box": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "BOX_CLIENT_ID",
        "-e",
        "BOX_CLIENT_SECRET",
        "mcp/box"
      ],
      "env": {
        "BOX_CLIENT_ID": "your_client_id",
        "BOX_CLIENT_SECRET": "your_client_secret"
      }
    }
  }
}

Why is it safer to run MCP Servers with Docker?⁠