About MCP Server
A small Vagrant-based MCP test setup that runs a context server and two model scripts on three machines. It is intended for testing a multi-machine arrangement, though the README gives little detail about its behavior.
Key features
- 01Vagrant setup for three machines
- 02Separate context and model scripts
- 03Python startup commands
Use cases
- 01Testing a context server alongside two model processes
- 02Running the documented three-machine test setup
MCP support
The setup runs `context_server.py` as an MCP server; the README does not describe the tools or data it exposes.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP-server Test
Run the Vagrantfile and connect to 3 machines
copy the relecant scripts to 3 machines : context_server.py - to MCP-Server model_1.py - to model1 machine model_2.py - to model2 machine
Run the python3 context_server.py from MCP server
Run the python3 model_1.py from model 1 server
Run the python3 model_2.py from model 2 server
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.