AIBase
EN
Explore
MCP
M

MCP

Memara MCP integration guide to help users connect AI assistants with Memara to achieve cross - platform memory storage, search, and synchronization functions.
Knowledge management and memoryDeveloper tools#AI Memory#Cross - platform#Intelligent Search#Data Synchronization
2 points
8.4K
Open Site

Overview

Content Details

Alternatives

What is the Memara MCP Server?

The Memara MCP Server is a system that allows AI assistants to remember conversation histories, search stored information, and synchronize knowledge across platforms. By integrating with Memara, you can empower your AI assistant with stronger memory capabilities.

How to use the Memara MCP Server?

Simply create an integration on the Memara website, then copy the configuration information to your AI tool (such as Claude Desktop or Cursor). After that, your AI can access and manage your memories.

Applicable Scenarios

Suitable for users who need AI assistants to remember context, handle complex tasks, or synchronize knowledge across devices. For example, developers can use it to track project details, and researchers can record experimental data, etc.

Main Features

Persistent Memory Storage
Allows AI assistants to remember all previous conversation contents and key information.
Cross - platform Synchronization
Ensures that your memories can be seamlessly synchronized between different AI tools.
Tag Classification
Supports adding tags to memories for quick information lookup and organization.
Real - time Search
AI can quickly search your memory library to find relevant information.
Advantages
Enhance the memory ability of AI, making it more intelligent.
Support multiple AI tools, providing flexible usage.
Easy to set up and use, suitable for non - technical users.
Limitations
Requires a Memara account to use.
Some advanced features may require a paid subscription.
Currently only supports specific AI tools, and more platforms may be added in the future.

How to Use

Create a Memara Integration
Open the Memara website, go to the 'Integrations' page, select the AI tool you use (such as Claude Desktop or Cursor), and then click 'Create Integration'.
Get Configuration Information
Memara will provide a configuration file or connection information, including the server URL and authentication token.
Configure the AI Tool
According to the instructions of the selected tool, paste the configuration information provided by Memara into its configuration file or settings interface.
Restart the AI Tool
After saving the configuration, restart your AI tool for the changes to take effect.

Usage Examples

Project Discussion Memory
When discussing a project with the team, use Memara to store key points and decisions for quick reference later.
Research Note Storage
Researchers can use Memara to record experimental data and observation results for subsequent analysis.
Daily Task Reminder
Users can use Memara to record to - do items and view them at any time in the AI assistant.

Frequently Asked Questions

How to confirm if the Memara MCP Server is running properly?
What should I do if I can't connect to Memara?
Can I use Memara MCP on multiple devices?
Is Memara secure? Will my data be leaked?

Related Resources

Memara Official Website
The official website of Memara, providing product introductions and registration services.
Memara Help Center
The help center of Memara, containing detailed usage guides and troubleshooting methods.
Memara Discord Community
Join the Memara Discord community to exchange experiences and solve problems with other users.
Memara GitHub Repository
The open - source code repository of Memara, suitable for developers to understand technical details.

Installation

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

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.9K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.5K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
5.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.8K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
7.6K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.7K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.8K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
7.3K
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
22.0K
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
30.4K
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
19.2K
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
64.0K
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#
28.2K
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
58.4K
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
19.0K
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
41.8K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase