Notepm MCP Server
N

Notepm MCP Server

The NotePM MCP Server is a service for searching NotePM content, supporting functions such as full-text search, title search, and tag filtering, and can be accessed via an MCP-compatible client.
2 points
9.2K

What is the NotePM MCP Server?

The NotePM MCP Server is a tool based on the Model Context Protocol (MCP) that allows you to search for content in NotePM through an MCP client. It supports multiple search methods, including full-text search, search by title, tag, and note code, and can filter archived pages.

How to use the NotePM MCP Server?

First, install and configure the environment variables, then start the server. Connect to the server via an MCP client and enter your query to start searching.

Use cases

This service is suitable for professionals or teams who need to efficiently retrieve information stored in NotePM.

Main features

Full-text search
Perform a comprehensive text search on all content in NotePM.
Search by title only
Quickly locate content under a specific title.
Tag-based search
Filter relevant notes based on preset tags.
Archived page option
Choose whether to include archived pages in the search results.
Pagination support
When dealing with a large number of search results, support pagination for browsing.
Note code search
Retrieve specific content directly via the note code.
Advantages
Improve information retrieval efficiency
Multi-dimensional search capabilities
Strong cross-platform compatibility
Limitations
Depends on the NotePM API Token
Requires a certain technical foundation to set up the environment

How to use

Install Python 3.12 or higher
Ensure that Python 3.12 or a higher version is installed on the system.
Clone the project repository
Use Git to clone the NotePM MCP server repository.
Configure environment variables
Create a .env file and add your NotePM team name and API token.
Start the server
Run the command to start the NotePM MCP server.

Usage examples

Search for a specific keyword
Enter a keyword such as 'Project plan' to find relevant content.
Filter archived pages
Enable the archived page option to include historical records.

Frequently Asked Questions

Is the NotePM MCP Server free to use?
What if I forget my API Token?

Related resources

GitHub Repository
Visit the GitHub repository to get the latest version and documentation.
Official Documentation
Learn more about the NotePM MCP Server.
Technical Support Forum
Join the community discussion and seek help.

Installation

Copy the following command to your Client for configuration
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
7.1K
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
5.3K
4.5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
5.9K
4.5 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
9.3K
5 points
C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
17.9K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
17.1K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
15.0K
5 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
20.5K
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
73.2K
4.3 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
35.5K
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
25.6K
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#
32.3K
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
64.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.1K
4.5 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
96.7K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase