The mem0 MCP Server is a middleware for project management, providing structured project memory storage, semantic search, and project information management functions, and supporting interaction with the MCP host application through the standard input - output protocol.
2.5 points
9.4K

What is the mem0 MCP Project Management Server?

The mem0 MCP Project Management Server is a tool that connects the MCP host application and the mem0 cloud service, helping you manage project - related memory data and supporting efficient semantic search.

How to use the mem0 MCP Project Management Server?

Through a simple command - line tool, you can easily add, retrieve, and update project memory data.

Applicable scenarios

Suitable for teams that need to centrally store and efficiently retrieve project - related information.

Main Features

Project Memory Storage and Retrieval
Supports storing and quickly retrieving project - related memory data.
Semantic Search
A search function based on semantic analysis to help you find the required information more accurately.
Structured Project Management Data Processing
Supports the storage and processing of structured data for convenient subsequent analysis.
Fully Tested MCP Server Tool
It has been rigorously tested to ensure the tool is stable and reliable.
Flexible Logging
It outputs to stderr by default and can also be output to a file optionally.
Intelligent CLI Interface
Simplifies installation and execution in a pipx - compatible way.
Advantages
Powerful semantic search function
Structured data management
Easily integrated command - line tool
Flexible logging options
Limitations
Requires a certain technical foundation for configuration and use
May need to optimize performance for very large data sets

How to Use

Install mem0 MCP
Install the mem0 MCP Server using pipx.
Configure MCP Host
Set the mem0 commands and parameters in the MCP Host configuration file.
Add Project Memory
Use the add_project_memory command to add project memory data.
Search Project Memories
Use the search_project_memories command to perform semantic search.

Usage Examples

Add Project Status Memory
Record the current status of the project.
Search Project Tasks
Find task records for a specific project.

Frequently Asked Questions

How to configure the MCP Host?
How to perform semantic search?
How to install mem0 MCP?

Related Resources

mem0 Official Documentation
Detailed usage documentation for the mem0 MCP Server.
GitHub Repository
The open - source code repository for the mem0 MCP Server.

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
7.7K
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
6.4K
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
6.0K
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
4.3K
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
6.5K
4 points
P
Paperbanana
Python
6.8K
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
6.6K
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
6.7K
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
20.6K
4.5 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
26.0K
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
73.5K
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
35.8K
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
65.4K
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#
31.7K
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
22.2K
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
49.8K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase