About Magnet Desktop
Magnet Desktop is a desktop interface for accessing and managing MCP servers locally. It is intended for users and developers exploring Magnet Protocol, though its core features are marked as coming soon.
Key features
- 01Access MCP servers locally
- 02Install MCP servers
- 03Manage MCP servers
Use cases
- 01Explore MCP servers from a desktop app
- 02Install a local MCP server
- 03Manage installed MCP servers
MCP support
The desktop app provides access to, installation of, and management for local MCP servers.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMagnet Desktop
Overview
Magnet is building a Programmable Action Agent Platform on Base, enabling AI agents to autonomously execute tasks and handle on-chain transactions. We're creating the infrastructure layer that allows Claude AI to become autonomous earning agents.
About This Repository
Magnet Desktop is the interface to access Magnet Protocol, which build on the top of MCP (Model Context Protocol). It allows you to access, install and manage different MCP servers (Action Agent) locally.
Core Features
Comming Soon
Quick Start
# Clone repository
git clone https://github.com/magnetai/magnet-desktop
# Install dependencies
npm install
# Start application
npm start
System Architecture
┌─── Crypto Users
Magnet Desktop (MCP Servers) ──────────┼─── AI Users
↑ └─── Developers
|
Claude AI Base Network
(Actions) (Payments)
Documentation
Comming Soon
Commmunity & Support
- Website: https://magnetlabs.xyz
- Twitter: @magnetaixyz
Liscense
GNU General Public License v3.0 See LICENSE for more information.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.