Project Atlantis

Meow! Ideally, you may want to create an account first at www.projectatlantis.ai and then have the bot walk you through setup (assuming everything works okay)

Basically we have a distributed linux-style system that provides tool infra for bots. Tools are arranged in folders for easy management across functions and teams. Teams can call each other’s functions directly or of course the bots can just do things themselves. Under the covers is an MCP-compliant system but we support hotloading etc. without some of the clunky overhead of constantly updating MCP tools.

To get started, clone the repo, do the Python env stuff, set up your API keys as environment variables (OPENROUTER_API_KEY, ANTHROPIC_API_KEY, etc.) and connect this local Python server to the main server (see runServer). We give you all the source code to build your own tool-calling chatbot just like Claude or whatever. See Bot/Kitty/ for working examples using OpenRouter and Anthropic APIs — the bot discovers tools dynamically via search rather than pre-loading them.

*note that the @game callback runs whenever a new chat is created

Project Atlantis Network

Each MCP server is part of a collaborative network of AI agents and developers. Using the Model Context Protocol, the platform creates an ecosystem where agents can discover and use each other’s capabilities across the network. Tools and functions can be shared, discovered, and coordinated between agents—whether for robot-driven frontier development, automation tasks, or any other application. The network architecture enables agents to find and leverage tools from other users, creating a decentralized ecosystem of shared capabilities.

The centerpiece of this project is a Python MCP host (referred to as a ‘remote’) that lets you install functions and 3rd party MCP tools on the fly

Quick Start

1. Prerequisites - need to install Python for the server and Node for Lobster (the MCP client); you should also install uv/uvx and node/npx since it seems that MCP needs both

2. Python 3.14 is the supported version

3. Set up your Python virtual environment and install dependencies:

cd python-server
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

4. Edit the runServer script in the python-server folder and set the email and service name (it’s actually best practice to create a copy “runServerFoo” that you can replace the runServer file with when we do updates):

python server.py  \
  [email protected]  \             # email you use for project atlantis
  --api-key=foobar \                         # should change online
  --host=localhost \                         # npx MCP will be looking here to connect to remote (assumes there is at least one running locally)
  --port=8000  \
  --cloud-host=wss://projectatlantis.ai  \   # points to cloud
  --cloud-port=443  \