Google Drive MCP Server

Under maintenance

Pricing

from $20.00 / 1,000 results

Try for free

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Google Drive MCP Server

Under maintenance

Try for free

A secure and extensible Google Drive MCP (Machine Control Protocol) Server built using Apify Actors. This actor enables AI agents, automation workflows, and applications to safely list, search, and read Google Drive files using user-provided credentials — without storing any secrets.

Pricing

from $20.00 / 1,000 results

Rating

0.0

(0)

Developer

Silky Modi

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

15 days ago

Last modified

Categories

Automation

You can access the Google Drive MCP Server programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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            "type": "string",
            "description": "Paste the full contents of your Google service account JSON key here."
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            "title": "Operation",
            "enum": [
              "listFiles",
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              "searchFiles"
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            "type": "string",
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          },
          "folderId": {
            "title": "Folder ID (for listFiles)",
            "type": "string",
            "description": "Google Drive folder ID to list. Leave empty to list items in the root."
          },
          "fileId": {
            "title": "File ID (for getFileContent)",
            "type": "string",
            "description": "Google Drive file ID whose content should be returned when using getFileContent."
          },
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            "title": "Search query (for searchFiles)",
            "type": "string",
            "description": "Drive search query used in searchFiles, e.g. name contains 'report'."
          },
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            "type": "integer",
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Google Drive MCP Server OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Google Drive MCP Server from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Google Drive MCP Server API in Python

Google Drive MCP Server API in JavaScript

Google Drive MCP Server API through CLI

Google Drive MCP Server API

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