atlantis-mcp-server

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This MCP allows users to run a Python-based peer-to-peer server managing dynamic functions and third-party tools locally, controllable via the Atlantis cloud for enhanced privacy and control over AI assets.
Added on:
Created by:
May 13 2025
atlantis-mcp-server

atlantis-mcp-server

0 Reviews
0
0
atlantis-mcp-server
This MCP allows users to run a Python-based peer-to-peer server managing dynamic functions and third-party tools locally, controllable via the Atlantis cloud for enhanced privacy and control over AI assets.
Added on:
Created by:
May 13 2025
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What is atlantis-mcp-server?

The system provides a Python remote server that runs on local devices, enabling the execution and management of custom Python functions as tools. Users can also install third-party MCP servers through JSON configurations, integrating various services like weather data. The architecture supports remote control via the Atlantis cloud, facilitating centralized management and control without exposing sensitive data. Built with extensibility in mind, the system allows hotloading of functions, dynamic server management, and offers a minimal cloud dependency, giving users more control over their AI and automation workflows within a peer-to-peer network environment.

Who will use atlantis-mcp-server?

  • Developers
  • AI researchers
  • System administrators
  • Tech enthusiasts

How to use the atlantis-mcp-server?

  • Step1: Install Python and Node.js
  • Step2: Configure runServer script with your details
  • Step3: Sign up at projectatlantis.ai
  • Step4: Launch the Python remote server
  • Step5: Connect to the server remotely via the cloud interface
  • Step6: Create or load functions and third-party MCP servers
  • Step7: Manage and operate the system through the cloud platform

atlantis-mcp-server's Core Features & Benefits

The Core Features
  • Dynamic creation and hot-reloading of Python functions
  • Installation and management of third-party MCP servers
  • Remote control via Atlantis cloud
  • Supports multiple remote instances
  • JSON-based server configuration
The Benefits
  • Enhanced control over AI workflows
  • Local data privacy and security
  • Easy integration of custom and third-party tools
  • Scalable architecture for multiple devices
  • Minimal cloud dependency

atlantis-mcp-server's Main Use Cases & Applications

  • AI development and testing
  • Automation workflows management
  • Multi-device control of AI tools
  • Weather and data monitoring
  • Research collaboration on MCP extensions

FAQs of atlantis-mcp-server

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