Gmail Notes Server
G

Gmail Notes Server

An MCP server built on TypeScript and the Gmail API, implementing simple note system functions, including note resource management, creation tools, and summary generation prompts.
2 points
8.2K

What is the Gmail MCP Server?

The Gmail MCP Server is a server application based on the Model Context Protocol. It uses the Gmail API to build a simple note management system. Users can interact with the server through the MCP protocol to create, store, and summarize text notes.

How to use the Gmail MCP Server?

You can use it through the Claude Desktop client or by directly installing the server. After installation, you can use specific MCP commands to manage notes, such as creating new notes or getting note summaries.

Applicable scenarios

Suitable for users who need to quickly record ideas, organize information, and generate summaries through AI. Especially suitable for researchers, writers, and professionals who need to manage a large number of text notes.

Main features

Note management
Access and manage all notes through the note:// URI system. Each note contains a title, content, and metadata.
Create notes
Use the create_note tool to quickly create new text notes, supporting title and content parameters.
Note summarization
Generate structured summaries of all stored notes through the summarize_notes prompt for quick browsing.
Advantages
Seamlessly integrated with Gmail, using the existing email system to store notes.
Simple plain - text format, easy to edit and share.
Standardized interaction through the MCP protocol, compatible with multiple clients.
Limitations
Currently only supports text content, not rich text or attachments.
Requires Gmail account authorization.
The summarization function depends on an external LLM service.

How to use

Install the server
Automatically install through Smithery or manually configure the server.
Configure the client
Add server settings to the Claude Desktop configuration file.
Start using
Interact with the server by sending MCP commands through the client.

Usage examples

Meeting minutes management
Quickly record meeting points and automatically generate summaries.
Research note organization
Collect research materials and generate comprehensive summaries.

Frequently asked questions

Do I need a Gmail account to use it?
Where are the notes stored?
How to debug server issues?

Related resources

Smithery installation page
The official page for automatically installing the server.
MCP Inspector
A tool for debugging MCP servers.
Gmail API documentation
Official documentation for the Gmail API.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "gmail-mcp": {
      "command": "/path/to/gmail-mcp/build/index.js"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
14.2K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
8.8K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
9.4K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
15.2K
5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
16.4K
5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
15.2K
4.3 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
16.1K
4 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
26.1K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
77.9K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
23.8K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
36.5K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
68.4K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
36.8K
5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
104.2K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
54.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase