McpGoogleDrive

McpGoogleDrive is an MCP server built on Spring Boot that exposes a lightweight, REST‑driven interface to Google Drive. By translating common file operations into simple HTTP endpoints, it lets AI assistants—such as Claude or other MCP‑compatible models—interact with a user’s Drive storage without needing to embed OAuth flows or complex SDKs inside the assistant itself. This separation of concerns keeps the assistant stateless while delegating authentication, quota management, and rate limiting to a dedicated backend service.

The server addresses the recurring developer pain point of managing cloud storage access in AI workflows. Rather than embedding Google Drive API calls directly into prompts or tool definitions, developers can point the assistant to a single MCP endpoint. The assistant then calls “list files” or “download file as PDF”, and the server handles authentication with a service account, query construction, pagination, and format conversion. This keeps model prompts clean, reduces token usage, and improves reliability by offloading heavy I/O to the server.

Key capabilities include:

• Listing: Retrieve a paginated collection of files, optionally limited by page size.
• Detail retrieval: Fetch metadata for a specific file using its Drive ID.
• Search: Perform name‑based queries across the user’s drive space.
• Folder creation: Dynamically create nested directories to organize AI‑generated content.
• PDF download: Convert any supported file type into a PDF stream, useful for generating printable reports or archival copies.

Typical use cases span content generation pipelines, knowledge‑base management, and automated reporting. For example, an AI assistant could generate a technical whitepaper, store it in Drive, and then instruct the MCP server to create a dedicated folder for the project. Another scenario involves an AI‑driven chatbot that pulls relevant documents from Drive, converts them to PDF for download, and returns the link to the user—all without exposing credentials or handling authentication logic in the assistant.

Integration is straightforward: developers expose the MCP server’s base URL to the assistant, define tool schemas that map to the REST endpoints, and let the model invoke them as needed. Because the server runs independently of the assistant, it can be scaled, monitored, and secured using standard Spring Boot practices. The use of a service account ensures that the assistant operates with least‑privilege access, while the server can enforce fine‑grained policies or audit logs.

In summary, McpGoogleDrive offers a clean, secure bridge between AI assistants and Google Drive, simplifying file management in automated workflows, reducing prompt complexity, and enabling robust integration with existing cloud infrastructure.