Google Drive
This Google Drive MCP server, developed by ModelContextProtocol, provides a secure interface for language models to interact with Google Drive files and folders. It enables AI agents to search, read, and access Google Drive content through a controlled API. The server handles OAuth authentication, automatically exports Google Workspace files to standard formats, and integrates with the desktop app via NPM. By focusing on read-only access and using OAuth for authorization, it maintains data security while allowing AI systems to work with cloud-stored documents and files. This implementation is particularly useful for AI assistants designed to analyze documents, search through cloud storage, or provide insights from Google Drive content.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Author type
- human
- Updated
- 2026-04-29
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.