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
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
hello kitty
Featured
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
Developer
- ProjectAtlantis-dev
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
Os Automation
A server that executes AppleScript commands, providing full control over macOS automations remotely.
A Python-based MCP server enabling secure management and automation of OPNsense firewalls via API.
Securely run MCP servers without modifying configs by managing secrets safely through the launcher.
Automates MCP server creation for AWS services using boto3, simplifying server setup for development.
A GUI tool for managing MCP servers across clients with seamless toggling and real-time monitoring features.
A cross-platform desktop app providing offline access, performance, and detailed metrics for MCP system interaction.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
A game client cheat with features like bypassing protections and modifying game behavior for Minecraft 1.16.5
A cross-platform package manager designed to manage all MCP servers efficiently and seamlessly.
A filesystem MCP server enabling an LLM to read and list local directory files for AI integration.