MCP Gmail Server

v1.0.0

Community

MCPemailgooglemcpmodel-context-protocol
75
Strong
About This MCP

Community-maintained MCP server for Gmail email operations. Enables AI models to read, send, search, label, and manage emails through the Gmail API. Includes support for attachments, threading, and advanced search. Essential for AI-powered email automation and communication workflows.

Last Evaluated: November 9, 2025
Official Website

Trust Vector Analysis

Dimension Breakdown

🚀Performance & Reliability
+
email search accuracy

Search accuracy testing

Evidence
Gmail API — Powerful search with Gmail's query language
highVerified: 2025-11-09
send reliability

Send success rate testing

Evidence
Gmail Send API — High reliability for email sending with delivery confirmation
highVerified: 2025-11-09
rate limit handling

Rate limiting behavior testing

Evidence
Gmail API Quotas — Subject to Gmail API rate limits (250 quota units/user/second)
mediumVerified: 2025-11-09
attachment handling

Attachment processing testing

Evidence
Gmail Attachments — Reliable attachment upload and download with size limits (25MB)
mediumVerified: 2025-11-09
error recovery

Error handling testing

Evidence
Implementation Review — Handles Gmail API errors with retry logic
mediumVerified: 2025-11-09
🛡️Security
+
authentication security

Authentication mechanism review

Evidence
Google OAuth 2.0 — Uses OAuth 2.0 with scoped access tokens
highVerified: 2025-11-09
token exposure risk

Token security analysis

Evidence
MCP Security Model — OAuth tokens stored locally; AI can perform email operations
highVerified: 2025-11-09
email send risk

Operation authorization testing

Evidence
Security Analysis — AI can send emails on user's behalf, potential for misuse
highVerified: 2025-11-09
email deletion risk

Destructive operation testing

Evidence
Gmail API — Can delete or trash emails if permissions granted
highVerified: 2025-11-09
scope limitation

Permission scope testing

Evidence
Gmail API Scopes — Granular OAuth scopes available but requires careful configuration
mediumVerified: 2025-11-09
audit logging

Audit logging review

Evidence
Google Workspace Audit — Operations logged in Google Workspace audit logs (for Workspace accounts)
mediumVerified: 2025-11-09
🔒Privacy & Compliance
+
email content exposure

Data flow analysis

Evidence
MCP Data Flow — Email content including body and headers sent to LLM provider
highVerified: 2025-11-09
contact information exposure

PII exposure assessment

Evidence
Privacy Analysis — Email addresses, names, and contact information exposed
highVerified: 2025-11-09
attachment privacy

Attachment privacy assessment

Evidence
Security Analysis — Email attachments can be downloaded and sent to LLM provider
highVerified: 2025-11-09
third party data sharing

Data sharing analysis

Evidence
LLM Provider Policies — Email content shared with LLM provider per their privacy policy
highVerified: 2025-11-09
conversation history privacy

History privacy assessment

Evidence
Privacy Analysis — Email threads and conversation history accessible
mediumVerified: 2025-11-09
👁️Trust & Transparency
+
documentation quality

Documentation completeness review

Evidence
Gmail MCP Docs — Good documentation but community-maintained
mediumVerified: 2025-11-09
operation visibility

Logging and traceability assessment

Evidence
MCP Protocol — All operations logged in MCP transaction logs
highVerified: 2025-11-09
open source transparency

Source code review

Evidence
GitHub Repository — Open source community implementation
highVerified: 2025-11-09
privacy risk disclosure

Privacy disclosure review

Evidence
Security Documentation — Limited privacy risk warnings in documentation
mediumVerified: 2025-11-09
⚙️Operational Excellence
+
ease of setup

Setup complexity assessment

Evidence
Setup Documentation — Requires Google Cloud project setup and OAuth consent configuration
mediumVerified: 2025-11-09
api performance

Performance benchmarking

Evidence
Gmail API Performance — Good performance for most operations (typically 100-500ms)
mediumVerified: 2025-11-09
reliability

Reliability analysis

Evidence
Gmail API Stability — Built on reliable Gmail API with high uptime
highVerified: 2025-11-09
operation coverage

Feature coverage assessment

Evidence
Gmail MCP Server — Covers read, send, search, label, and attachment operations
highVerified: 2025-11-09
community support

Community support assessment

Evidence
GitHub Community — Community-maintained with moderate activity
mediumVerified: 2025-11-09
Strengths
  • +Comprehensive Gmail operations (read, send, search, label, attachments)
  • +Built on reliable Gmail API with high uptime
  • +Powerful email search with Gmail query language
  • +OAuth 2.0 authentication with granular scope controls
  • +Open source community implementation
  • +Good for email automation and customer support workflows
Limitations
  • !Email content including body and attachments exposed to LLM provider
  • !AI can send emails on user's behalf, risk of impersonation
  • !Email addresses and contact information exposed
  • !Can delete or trash emails if permissions granted
  • !Subject to Gmail API rate limits (250 quota units/user/second)
  • !Complex OAuth setup requiring Google Cloud project configuration
Metadata
license: MIT
supported platforms
0: All platforms with Node.js/Python
programming languages
0: TypeScript
1: Python
mcp version: 1.0
github repo: https://github.com/modelcontextprotocol/servers
api dependency: Gmail API, Google APIs Client Library
authentication: OAuth 2.0 with Google
first release: 2024-11
maintained by: Community

Use Case Ratings

code generation

Moderate applicability for email automation code generation

customer support

Excellent for email support automation and ticket processing

content creation

Useful for email newsletter creation and distribution

data analysis

Good for analyzing email patterns and communication metrics

research assistant

Useful for email research and contact organization

legal compliance

High risk of exposing privileged communications; not recommended

healthcare

High risk of HIPAA violations with patient communications

financial analysis

Risk of exposing financial communications and sensitive data

education

Good for educational email management and communication automation

creative writing

Moderate applicability for writer correspondence management