MCP-Server
by aviran355
MCP-Server allows you to connect to three machines using Vagrant and run Python scripts on each. It sets up a context server and two model servers for distributed processing.
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What is MCP-Server?
MCP-Server is a setup that uses Vagrant to create three virtual machines: an MCP-Server, model1, and model2. It facilitates running Python scripts across these machines for distributed processing or simulation.
How to use MCP-Server?
- Run the Vagrantfile to create and configure the three virtual machines. 2. Copy
context_server.pyto the MCP-Server,model_1.pyto model1, andmodel_2.pyto model2. 3. Runpython3 context_server.pyon the MCP-Server. 4. Runpython3 model_1.pyon model1. 5. Runpython3 model_2.pyon model2.
Key features of MCP-Server
Vagrant-based setup
Distributed Python script execution
Context server architecture
Multi-machine environment
Use cases of MCP-Server
Distributed simulations
Parallel processing of data
Testing distributed systems
Machine learning model deployment
FAQ from MCP-Server
What is the purpose of the context server?
What is the purpose of the context server?
The context server likely manages the communication and coordination between the model servers.
What are model_1.py and model_2.py?
What are model_1.py and model_2.py?
These are Python scripts representing different models or components of a larger system.
Why use Vagrant?
Why use Vagrant?
Vagrant provides a consistent and reproducible environment for running the server and models.
Can I add more model servers?
Can I add more model servers?
The provided instructions are for two model servers, but the setup could be extended with modifications to the scripts and Vagrantfile.
What are the prerequisites for running this setup?
What are the prerequisites for running this setup?
You need Vagrant and Python 3 installed on your machine.