FlyMoon Python Package for MCP (Mission Control Protocol) clients and server
Project description
FlyMoon - MCP Server and Client
A Python package for both the MCP (Mission Control Protocol) Server and Client. This library provides a server implementation for agent simulations and a simple client wrapper around the MCP Server API to register agents, move them around, and observe the environment.
Table of Contents
- Installation
- Usage
- API Reference
- Project Structure
- Example Agent
- Troubleshooting
- Contributing
- License
Installation
Option 1: Install from PyPI (Recommended)
pip install flymoon
Option 2: Install from Source
- Clone this repository:
git clone https://github.com/Tanishqpy/FlyMoon
cd FlyMoon
pip install -e .
- Install the required dependencies:
pip install -r requirements.txt
- (Optional) Create a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
Usage
Client Usage
from flymoon import MCPClient
# Create a client instance
client = MCPClient(
server_url="http://localhost:8000",
agent_id="explorer_bot",
agent_type="scout"
)
# Register the agent
registration_result = client.register()
print(f"Registration result: {registration_result}")
# Move the agent
move_result = client.move(x=10, y=5)
print(f"Move result: {move_result}")
# Observe surroundings
observation = client.observe()
print(f"Observation: {observation}")
Server Usage
from flymoon.server import start_server
# Start the server on default host and port (0.0.0.0:8000)
start_server()
# Or specify custom host and port
start_server(host="127.0.0.1", port=9000)
The server can also be started directly from the command line:
# Using the module
python -m flymoon.server
# Or if installed as a package
python -c "from flymoon.server import start_server; start_server()"
Automated Agent Loop
The client also includes a simple automation function:
# Run a simple agent loop (5 steps by default)
client = MCPClient(agent_id="explorer_bot", agent_type="scout")
client.run_simple_loop(steps=5, delay=1)
API Reference
Client API
MCPClient
Constructor
MCPClient(server_url="http://localhost:8000", agent_id=None, agent_type=None)
Methods
register(agent_id=None, agent_type=None): Register an agent with the servermove(x, y): Move the agent to the specified coordinatesobserve(): Observe the surroundingsrun_simple_loop(steps=5, delay=1): Run an automated agent loop
Server API
Endpoints
GET /: Check if the server is runningPOST /step: Main endpoint for agent actions
Step Request Types
-
Register
{ "type": "register", "agent_id": "unique_agent_id", "agent_type": "scout" }
-
Move
{ "type": "move", "agent_id": "unique_agent_id", "target": {"x": 10, "y": 20} }
-
Observe
{ "type": "observe", "agent_id": "unique_agent_id" }
Server Functions
start_server(host="0.0.0.0", port=8000): Start the MCP server
Project Structure
src/FlyMoon/__init__.py: Package initializationmcp_client.py: Main client library classserver.py: FastAPI server implementationagent_client.py: Example implementation without using the wrappermcp_env.py: Environment definition and functionality
launch_mcp.sh: Script to start the server with ngrok tunnelingrequirements.txt: Project dependenciespyproject.toml: Project configuration
Example Agent
See agent_client.py for a simple example of directly using the API without the wrapper.
Troubleshooting
Common Issues
-
Connection refused errors
- Make sure the MCP server is running on the specified port
- Check if the server URL is correct
- Verify network connectivity
-
Authentication failures
- Ensure you're using a valid agent_id
- Try re-registering your agent
-
Movement limitations
- Agents can't move outside the environment boundaries
- Check observation results for valid movement ranges
Server Setup
To start the server locally:
# Start the FastAPI server
uvicorn flymoon.server:app --reload
# Or use the provided launch script
./launch_mcp.sh
Contributing
Contributions are welcome! Here's how you can contribute:
- Fork the repository
- Create a new branch (
git checkout -b feature/amazing-feature) - Make your changes
- Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Please make sure to update tests as appropriate.
License
MIT License
Copyright (c) 2025 Tanishq
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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