Memprocfs MCP Server
MemProcFS MCP server project for interacting via the command line or other MCP clients.
rating : 2.5 points
downloads : 15
What is MemProcFS MCP Server?
MemProcFS MCP Server is a memory analysis server based on MemProcFS that allows remote access to memory analysis capabilities via the MCP protocol. It provides a server-side implementation that can handle requests from clients and return memory analysis results.How to use MemProcFS MCP Server?
After installing the MemProcFS Python package, run the server script to start the service. Clients can connect to the server via the MCP protocol to send requests.Use cases
Suitable for scenarios that require remote access to memory analysis capabilities, such as distributed analysis, team collaboration analysis, or integrating analysis capabilities into other tools.Main features
Remote memory analysisAllows remote access to memory analysis capabilities via the MCP protocol
Python supportProvides a Python package for easy integration and use
Multi-client supportSupports multiple clients connecting and analyzing simultaneously
Advantages and limitations
Advantages
Provides remote access capabilities, facilitating distributed analysis
Easy to integrate into existing toolchains
Based on the mature MemProcFS technology
Limitations
Requires Python environment support
Performance may be affected by network conditions
Currently, there is less documentation
How to use
Install the MemProcFS Python package
Install the MemProcFS Python package using pip
Start the MCP server
Run the server script to start the MCP service
Connect using the client
Use the MCP client tool to connect to the server
Usage examples
Remote memory analysisConnect to the server from a remote machine to analyze memory dumps
Integrate into analysis toolsIntegrate the MCP server into custom analysis tools
Frequently Asked Questions
How to install MemProcFS?
What port does the server listen on by default?
Which client tools are supported?
Related resources
Official MemProcFS documentation
Official documentation and code repository for the MemProcFS project
MCP protocol specification
Detailed specification of the Model Context Protocol
Featured MCP Services

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
827
4.3 points

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
85
4.3 points

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
1.7K
5 points

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
140
4.5 points

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#
563
5 points

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
6.7K
4.5 points

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
752
4.8 points

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
282
4.5 points