Google Workspace MCP▌
by taylorwilsdon
Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search, and Drive with AI. Comprehensive Googl
Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search, and Drive with AI. Comprehensive Google Workspace integration for AI assistants. 1,700+ GitHub stars.
github stars
★ 1.7K
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Business users automating Google Workspace workflows
- / Teams managing calendars and documents through AI
- / Organizations centralizing Google services access
capabilities
- / Send and manage Gmail messages
- / Create and edit Google Calendar events
- / Read and write Google Docs and Sheets
- / Upload and organize Google Drive files
- / Create Google Forms and Slides
- / Manage Google Tasks and Contacts
what it does
Connects AI assistants to your entire Google Workspace account, letting you manage Gmail, Calendar, Drive, Docs, Sheets and other Google services through natural language commands.
about
Google Workspace MCP is a community-built MCP server published by taylorwilsdon that provides AI assistants with tools and capabilities via the Model Context Protocol. Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search, and Drive with AI. Comprehensive Googl It is categorized under productivity, communication.
how to install
You can install Google Workspace MCP in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Google Workspace MCP is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Interested in a private, managed cloud instance? [That can be arranged.](https://workspacemcp.com/workspace-mcp-cloud)
◆ But why?
**This README was written with AI assistance, and here's why that matters** > > As a solo dev building open source tools, comprehensive documentation often wouldn't happen without AI help. Using agentic dev tools like **Roo** & **Claude Code** that understand the entire codebase, AI doesn't just regurgitate generic content - it extracts real implementation details and creates accurate, specific documentation. > > In this case, Sonnet 4 took a pass & a human (me) verified them 2/16/26.| **@ Gmail** • **≡ Drive** • **⧖ Calendar** **≡ Docs** - Complete Gmail management, end-to-end coverage - Full calendar management with advanced features - File operations with Office format support - Document creation, editing & comments - Deep, exhaustive support for fine-grained editing --- **≡ Forms** • **@ Chat** • **≡ Sheets** • **≡ Slides** - Form creation, publish settings & response management - Space management & messaging capabilities - Spreadsheet operations with flexible cell management - Presentation creation, updates & content manipulation --- **◆ Apps Script** - Automate cross-application workflows with custom code - Execute existing business logic and custom functions - Manage script projects, deployments & versions - Debug and modify Apps Script code programmatically - Bridge Google Workspace services through automation | **⊠ Authentication & Security** - Advanced OAuth 2.0 & OAuth 2.1 support - Automatic token refresh & session management - Transport-aware callback handling - Multi-user bearer token authentication - Innovative CORS proxy architecture --- **✓ Tasks** • **👤 Contacts** • **◆ Custom Search** - Task & task list management with hierarchy - Contact management via People API with groups - Programmable Search Engine (PSE) integration |
Quick Reference Card - Essential commands & configs at a glance
| **Credentials** ```bash export GOOGLE_OAUTH_CLIENT_ID="..." export GOOGLE_OAUTH_CLIENT_SECRET="..." ``` [Full setup →](#credential-configuration) | **Launch Commands** ```bash uvx workspace-mcp --tool-tier core uv run main.py --tools gmail drive ``` [More options →](#start-the-server) | **Tool Tiers** - `core` - Essential tools - `extended` - Core + extras - `complete` - Everything [Details →](#tool-tiers) |
Environment Variables ← Click to configure in Claude Desktop
| **Required** | Variable | Purpose | |----------|---------| | `GOOGLE_OAUTH_CLIENT_ID` | OAuth client ID from Google Cloud | | `GOOGLE_OAUTH_CLIENT_SECRET` | OAuth client secret | | `OAUTHLIB_INSECURE_TRANSPORT=1` | Development only (allows `http://` redirect) | | **Optional** | Variable | Purpose | |----------|---------| | `USER_GOOGLE_EMAIL` | Default email for single-user auth | | `GOOGLE_PSE_API_KEY` | API key for Custom Search | | `GOOGLE_PSE_ENGINE_ID` | Search Engine ID for Custom Search | | `MCP_ENABLE_OAUTH21` | Set to `true` for OAuth 2.1 support | | `EXTERNAL_OAUTH21_PROVIDER` | Set to `true` for external OAuth flow with bearer tokens (requires OAuth 2.1) | | `WORKSPACE_MCP_STATELESS_MODE` | Set to `true` for stateless operation (requires OAuth 2.1) | |
Google Cloud Setup ← OAuth 2.0 credentials & API enablement
| **1. Create Project** ```text console.cloud.google.com → Create new project → Note project name ``` [Open Console →](https://console.cloud.google.com/) | **2. OAuth Credentials** ```text APIs & Services → Credentials → Create Credentials → OAuth Client ID → Desktop Application ``` Download & save credentials | **3. Enable APIs** ```text APIs & Services → Library Search & enable: Calendar, Drive, Gmail, Docs, Sheets, Slides, Forms, Tasks, People, Chat, Search ``` See quick links below |
OAuth Credential Setup Guide ← Step-by-step instructions**Complete Setup Process:** 1. **Create OAuth 2.0 Credentials** - Visit [Google Cloud Console](https://console.cloud.google.com/) - Create a new project (or use existing) - Navigate to **APIs & Services → Credentials** - Click **Create Credentials → OAuth Client ID** - Choose **Desktop Application** as the application type (no redirect URIs needed!) - Download credentials and note the Client ID and Client Secret 2. **Enable Required APIs** - In **APIs & Services → Library** - Search for and enable each required API - Or use the quick links below for one-click enabling 3. **Configure Environment** - Set your credentials: ```bash export GOOGLE_OAUTH_CLIENT_ID="your-client-id" export GOOGLE_OAUTH_CLIENT_SECRET="your-secret" ``` [Full Documentation →](https://developers.google.com/workspace/guides/auth-overview) |
||
Quick API Enable Links ---
FAQ
- What is the Google Workspace MCP MCP server?
- Google Workspace MCP is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Google Workspace MCP?
- This profile displays 53 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★53 reviews- ★★★★★Carlos Agarwal· Dec 24, 2024
Google Workspace MCP reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Chaitanya Patil· Dec 20, 2024
Google Workspace MCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Carlos Chawla· Dec 20, 2024
Google Workspace MCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Aisha Khanna· Dec 8, 2024
We wired Google Workspace MCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Mateo Gonzalez· Dec 4, 2024
We evaluated Google Workspace MCP against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Arya Anderson· Dec 4, 2024
Google Workspace MCP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Xiao Kapoor· Nov 23, 2024
Google Workspace MCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Ama Srinivasan· Nov 23, 2024
I recommend Google Workspace MCP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Nia Ndlovu· Nov 15, 2024
Useful MCP listing: Google Workspace MCP is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Piyush G· Nov 11, 2024
We evaluated Google Workspace MCP against two servers with overlapping tools; this profile had the clearer scope statement.
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