Google Drive
This Google Drive MCP server, developed by Anthropic, enables Large Language Models to interact with Google Drive through the Model Context Protocol. Built with TypeScript and leveraging the Google Drive API, it provides tools for listing, searching, and reading files from Google Drive. The implementation offers a straightforward authentication process and integration with the MCP SDK, making it accessible for AI assistants or applications needing to access and analyze documents stored in Google Drive. It's particularly useful for tasks like document retrieval, content analysis, or managing file operations programmatically within AI workflows.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/felores/gdrive-mcp-server
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Google Drive from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.