Mem0 MCP Server Ts
M

Mem0 MCP Server Ts

A TypeScript-based MCP server that integrates with Mem0 to provide memory stream functions
2 points
7.6K

What is mem0 MCP Server?

mem0 MCP Server is a memory management server that implements the Model Context Protocol (MCP), allowing you to create, manage, and search memory streams. Through integration with mem0.ai, it can store long-term memories and support semantic search functions.

How to use mem0 MCP Server?

You can create memory streams, add content, search for memories, or read memory stream content through simple API calls. The server provides RESTful interfaces and resource access methods.

Use cases

Suitable for AI applications that require long-term memory storage, context management for dialogue systems, knowledge base construction, and any scenarios that require semantic search functions.

Main features

Create memory stream
Create a new memory stream, optionally add initial content and specify user/agent ID
Add content
Append new content to an existing memory stream, and specify the role (user/assistant)
Semantic search
Use mem0's semantic search function to find relevant memories, and adjust the similarity threshold
Read memory stream
Read memory stream content on demand, supporting specifying the reading range
Resource access
Access memory stream content directly through a unified resource identifier
Delete memory stream
Permanently delete memory streams that are no longer needed
Advantages
Seamless integration with mem0.ai, providing persistent storage
Supports semantic search, not just keyword matching
Flexible memory stream management, allowing partial content to be read on demand
Simple RESTful API design, easy to integrate
Limitations
Requires a mem0 API key to use full features
Currently lacks a built-in authentication mechanism
Semantic search performance depends on the service quality of mem0

How to use

Installation and configuration
Install the Node.js environment and set the mem0 API key
Start the server
Build and start the MCP server
Use the API
Interact with the server through HTTP requests or a test client

Usage examples

Create conversation history
Create a persistent conversation history for the AI assistant to achieve cross-session memory
Find relevant knowledge
Search for information related to the user's question in the stored memories
Build a knowledge base
Gradually build a structured knowledge base

Frequently Asked Questions

How to get a mem0 API key?
Is there a size limit for memory streams?
Can I access multiple memory streams simultaneously?
How to set the threshold for semantic search?

Related resources

mem0 official website
Get an API key and learn more about mem0 features
GitHub repository
View source code and contribution guidelines
MCP protocol specification
Learn the detailed specification of the Model Context Protocol

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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