Google Docs/Workspace Integration via MCP Server

Problem Statement

Many development workflows involve collaborative document editing in Google Docs, but there's currently no way for Gemini CLI to read from or write to Google Docs. This creates friction in common workflows like:

• Design Documents: Reading/updating technical design docs during development
• Review & Approval Processes: Commenting on specs, requirements docs, postmortems
• Documentation Workflows: Maintaining project documentation, user guides, API docs
• Cross-team Collaboration: Accessing shared documents from product, design, and other teams

Proposed Solution

Create a Google Docs MCP server that integrates with Gemini CLI's existing MCP architecture to provide seamless document access.

Core Features

• Read Google Docs: Access document content by ID/URL for context in conversations
• Update Documents: Edit existing docs with AI assistance
• Comment & Suggest: Add comments and suggestions for collaborative review
• List Accessible Docs: Browse documents shared with user
• Export/Import: Convert between Google Docs and markdown/other formats

Technical Approach

MCP Server Implementation:

{
  "mcpServers": {
    "googleDocs": {
      "command": "node", 
      "args": ["google-docs-mcp-server.js"],
      "authProviderType": "google_credentials",
      "oauth": {
        "scopes": [
          "https://www.googleapis.com/auth/documents",
          "https://www.googleapis.com/auth/drive.readonly"
        ]
      }
    }
  }
}

Tools to Implement:

• read_google_doc(doc_id_or_url) - Retrieve document content
• write_google_doc(doc_id, content, section?) - Update document sections
• comment_google_doc(doc_id, text, position?) - Add comments
• list_shared_docs(query?) - List accessible documents

Implementation Plan

1. Phase 1: Basic read/write functionality using Google Docs API
2. Phase 2: Comment and suggestion features for collaboration
3. Phase 3: Advanced features (formatting, export, batch operations)

Benefits

• Seamless Workflows: Keep document collaboration within AI-assisted development flow
• Reduced Context Switching: No need to copy/paste between Google Docs and CLI
• Enhanced Collaboration: AI can help draft, review, and update collaborative documents
• Broader Adoption: Makes Gemini CLI more valuable for teams using Google Workspace

Technical Foundation

• OAuth Support: Gemini CLI already supports Google authentication for MCP servers
• MCP Architecture: Proven integration pattern with existing servers
• Google APIs: Well-documented Google Docs and Drive APIs available
• Permission Model: Respects existing Google Docs sharing permissions

Note: This would be the first Google Workspace integration in the MCP ecosystem, potentially serving as a template for Google Sheets, Slides, and other Workspace tools.