Advertise
MCP.so
Sign In

Project Atlantis MCP Server

@ProjectAtlantis-dev

Repository

Basic information

Category

Other

Transports

stdio

Author

ProjectAtlantis-dev

About Project Atlantis MCP Server

A configurable MCP client/server

Project Atlantis MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "atlantis-mcp-server": {
      "command": "python",
      "args": [
        "server.py",
        "\\"
      ]
    }
  }
}

Project Atlantis MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Project Atlantis?

Project Atlantis is a Python MCP remote server that lets users install custom functions as tools and manage third‑party MCP servers on the fly. It connects to an experimental cloud server at projectatlantis.ai for tool sharing and authentication, and is designed for developers exploring MCP capabilities.

How to use Project Atlantis?

Install Python 3.12 and Node, then configure the runServer script with your email and API key, and sign in at projectatlantis.ai. Run the Python server process, which will auto-connect to the cloud.

Key features of Project Atlantis

  • Dynamic functions as hot‑reloaded Python tools
  • Dynamic MCP server management via JSON config
  • Cloud‑connected for auth and tool sharing
  • Supports multiple remote instances
  • Local MCP client for use with Claude or Cursor

Use cases of Project Atlantis

  • Experimenting with MCP protocol and remote server concepts
  • Building custom tools with hot‑reloaded Python functions
  • Managing and sharing third‑party MCP servers
  • Running multiple remote instances across machines

Frequently asked questions

1

What is the difference between a remote and an MCP server?

The remote is the Python MCP host process, while MCP servers are third‑party tools that can be dynamically installed via JSON config files.

2

What are the runtime requirements?

Python 3.12 (most stable) and Node for the MCP client, plus uv/uvx and npx for MCP tooling.

3

How does authentication work?

Authentication is currently handled through the Atlantis cloud at projectatlantis.ai using your email and an API key (default `foobar`).

4

Where do custom functions live?

Custom functions are stored in the `dynamic_functions/` folder and are automatically loaded on start with hot‑reload support.

5

What transports does the server support?

The remote uses a WebSocket cloud connection, and a local npx‑based MCP client that does not require the cloud (but only exposes tools on the local box).

Comments

More Other MCP servers

FastMCP v2 🚀

jlowin

🚀 The fast, Pythonic way to build MCP servers and clients.

26.0K

Sequential Thinking

modelcontextprotocol

Model Context Protocol Servers

88.2K
N

Next Generation Movers: free moving quotes (remote MCP)

Next Generation Movers

Free moving quotes for AI agents from Next Generation Movers, a licensed interstate mover (USDOT 3764697). US long-distance nationwide and local DC/MD/VA. Indicative ballpark price and booking options; optional $0.01 x40

Lemon.io

lemon-io

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

P

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Advertise