Notes MCP Server
N

Notes MCP Server

An MCP server based on Apache Ignite that provides secure note CRUD functions for AI assistants
2 points
9.4K

What is Notes MCP Server?

Notes MCP Server is a server based on the Model Context Protocol, specifically designed for AI assistants to provide secure and reliable note management functions. It allows AI assistants to create, read, update, and delete simple notes through a structured protocol, and all data is stored in the Apache Ignite database.

How to use Notes MCP Server?

You can configure an AI assistant (such as Continue.dev or Claude) to connect to this server, and then the AI assistant can help you manage notes. The server provides standardized interfaces that the AI assistant can automatically call to assist you.

Use cases

Suitable for scenarios where an AI assistant is needed to help manage simple notes, such as meeting records, idea collection, task lists, etc. Particularly suitable for developers and technical users who want to enhance productivity through AI.

Main features

List all notes
View the list of all notes stored in the database
Read note content
Get the detailed content of a specific note
Create a new note
Add a new note through the AI assistant
Delete a note
Remove a note that is no longer needed
Prompt management
View and use preset prompt templates
Advantages
Standardized interface: Uses the Model Context Protocol standard and is compatible with multiple AI assistants
Data security: All notes are securely stored in the Apache Ignite database
Easy to integrate: Provides clear configuration examples and can be quickly connected to mainstream AI platforms
Limitations
Requires technical knowledge for initial setup and configuration
Currently only supports simple text-based notes
Depends on the Apache Ignite database and requires additional installation

How to use

Install dependencies
Ensure that Python, the uv package manager, and the Apache Ignite database are installed
Configure the AI assistant
Add the corresponding server configuration according to the AI assistant you are using (Continue.dev or Claude)
Start the server
Run the server program and specify the database connection parameters
Use through the AI assistant
Now you can manage notes through the AI assistant, for example, say "Help me record the key points of today's meeting"

Usage examples

Meeting records
Ask the AI assistant to automatically record important discussion points and action plans during a meeting
Shopping list management
Ask the AI assistant to maintain your shopping list through natural language instructions
Idea collection
Record inspiration and ideas at any time, and the AI assistant will help you organize them

Frequently Asked Questions

Do I need programming knowledge to use this server?
Which AI assistants does this server support?
Where is the note data stored? Is it secure?
Can I store images or other rich media content?
How do I debug server issues?

Related resources

Model Context Protocol official website
Learn about the official documentation and specifications of the MCP protocol
Apache Ignite documentation
Documentation for the database system used by the server
GitHub repository
Project source code and latest updates
MCP Inspector tool
Tool for debugging MCP servers

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "messaging": {
      "command": "/path/to/uv",
      "args": [
        "--directory",
        "/path/to/notes-mcp-server",
        "run",
        "main.py", "--host=127.0.0.1", "--port=10800"
      ]
    }
  }
}
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
7.0K
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
5.7K
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
6.8K
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
5.9K
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
10.6K
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
14.8K
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
15.4K
4 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
35.4K
5 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
26.4K
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
21.1K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.8K
4.3 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#
33.5K
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
65.2K
4.5 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
51.0K
4.8 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
98.9K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase