Talos MCP
A simple MCP implementation based on the Talos SDK, used to obtain data from multiple Talos nodes, including disk, network interface, CPU, and memory usage, and supports restarting nodes.
rating : 2.5 points
downloads : 17
What is Talos-MCP?
Talos-MCP is a proof-of-concept project that interacts with Talos clusters through the Model Context Protocol (MCP). It allows users to query node hardware information, system resource usage, and perform basic management operations such as restarting.How to use Talos-MCP?
After specifying cluster nodes through the talosconfig file, compile and run the program, and then you can interact with it through client tools compatible with the MCP protocol.Applicable scenarios
Suitable for scenarios where you need to centrally monitor the status of multiple Talos nodes or perform batch management operations, especially when used in conjunction with MCP clients that support the stdio protocol.Main features
System monitoringReal-time acquisition of the usage of hardware resources such as CPU, memory, disks, and network interfaces
Node managementSupports basic management operations such as remotely restarting cluster nodes
Multi-node supportManage all nodes defined in the configuration file simultaneously through a single interface
Advantages and limitations
Advantages
Lightweight implementation with few dependencies
Standardized MCP protocol is compatible with multiple clients
Centralized management of multiple nodes
Limitations
Only a proof-of-concept project, long-term maintenance is not guaranteed
Relatively basic functions, does not support advanced management operations
Requires pre-configuration of node connection information
How to use
Prepare the environment
Ensure that Golang 1.24+ and an available Talos cluster are installed
Configure node information
Edit the talosconfig file and specify the endpoints and nodes parameters
Compile and run
Clone the repository and compile the project
Configure the MCP client
Configure the stdio protocol in the supported MCP client to point to the compiled program
Usage examples
Monitor cluster resourcesRegularly check the CPU and memory usage of each node
Batch maintenanceRestart all nodes in an orderly manner after system updates
Frequently Asked Questions
Why is the project marked as a proof-of-concept?
Which MCP clients are supported?
How to add new management functions?
Related resources
Talos official documentation
Official documentation and API reference for Talos Linux
MCP protocol specification
Official specification document for the Model Context Protocol
Project repository
Source code repository for Talos-MCP
Featured MCP Services

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

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
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
79
4.3 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
130
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#
554
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
6.6K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 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
745
4.8 points