Affine MCP Server
A

Affine MCP Server

The AFFiNE MCP server is a middleware based on the Model Context Protocol, providing seamless integration with self - hosted or cloud - based AFFiNE instances, and supporting more than 30 functions such as document, workspace, and user management through a standardized interface.
2.5 points
9.7K

What is the AFFiNE MCP Server?

This is an intelligent connection server specifically designed for AFFiNE, adopting the Model Context Protocol standard. It acts like an 'interpreter', allowing AI assistants to understand and operate your AFFiNE workspaces, enabling intelligent operations such as document management and team collaboration.

How to use the MCP service?

Simply complete a simple configuration, and your AI assistant (such as Claude) can gain the ability to 'manage AFFiNE workspaces'. It supports three security authentication methods and provides more than 30 out - of - the - box document management functions.

Applicable scenarios

Suitable for teams that need AI assistance in document organization, builders of automated workflows, and developers who want to expand the intelligent functions of AFFiNE. Typical scenarios include intelligent document archiving, automated weekly report generation, and team knowledge base AI assistants.

Main features

Workspace management
Create/delete workspaces, set initial document templates, and manage multi - workspace switching
Intelligent document management
Support document search, batch operations, version recovery, and release control
Collaboration tools
A complete comment system that supports @mentions and issue tracking
Secure access
Triple authentication mechanism (Token/Cookie/Password), and all operations are controlled by AFFiNE's native permissions
Advantages
Seamless integration: Fully compatible with AFFiNE cloud version/self - hosted version
Out - of - the - box: Pre - configured with more than 30 commonly used document operation tools
Safe and reliable: Follows the principle of least privilege, and operation records can be audited
Cross - platform: Supports access from all mainstream AI assistants
Limitations
Requires a Node.js runtime environment
The self - hosted version requires manual update of the server
Some advanced functions require AFFiNE enterprise version support

How to use

Prepare the runtime environment
Ensure that Node.js version 18+ is installed. You can check it through the command node - v
Get the server code
Clone or download the project repository to the local directory
Configure connection information
Create a.env file in the project root directory and fill in your AFFiNE instance address and authentication information
Start the service
Install dependencies and start the MCP service

Usage examples

Case 1: Intelligent weekly report system
AI automatically collects documents submitted by each member, generates a structured weekly report, and distributes it to the team
Case 2: Project document archiving
Automatically archive expired documents according to the project status to keep the workspace tidy

Frequently Asked Questions

Do I need professional technical knowledge to use it?
How to ensure data security?
Which AI assistants are supported?

Related resources

Official GitHub repository
Get the latest version and problem support
MCP protocol specification
Understand the underlying communication protocol standard
AFFiNE official documentation
Learn about the core functions of AFFiNE

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "affine": {
      "command": "node",
      "args": ["/path/to/affine-mcp-server/dist/index.js"],
      "env": {
        "AFFINE_BASE_URL": "https://your-affine-instance.com",
        "AFFINE_EMAIL": "your@email.com",
        "AFFINE_PASSWORD": "your_password"
      }
    }
  }
}
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
6.2K
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
4.9K
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
5.5K
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
3.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.3K
4 points
P
Paperbanana
Python
7.5K
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
6.1K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.6K
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
24.7K
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
34.6K
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
72.6K
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
20.5K
4.5 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
63.8K
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#
31.5K
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
21.1K
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
49.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase