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Systems Mcp

@lethainon 9 months ago
11 MIT
FreeCommunity
AI Systems
MCP server for lethain:systems Python library

Overview

What is Systems Mcp

systems-mcp is an MCP server designed for interacting with the lethain:systems Python library, facilitating systems modeling.

Use cases

Use cases include generating specifications for complex systems, modeling social networks, and enhancing the context for systems modeling through documentation.

How to use

To use systems-mcp, you can run the ‘run_systems_model’ tool with a specification and an optional number of rounds. Additionally, ‘load_systems_documentation’ can be used to load helpful documentation into the context window.

Key features

Key features include the ability to run systems models with customizable parameters and load documentation/examples to enhance model generation.

Where to use

systems-mcp can be used in fields such as systems engineering, software development, and any domain requiring systems modeling.

Content

systems-mcp

systems-mcp is an MCP server for interacting with
the lethain:systems library for systems modeling.

It provides two tools:

  • run_systems_model runs the systems specification of a systems model.
    Takes two parameters, the specification and, optionally, the number of
    rounds to run the model (defaulting to 100).
  • load_systems_documentation loads documentation and examples into the context window.
    This is useful for priming models to be more helpful at writing systems models.

It is intended for running locally in conjunction with Claude Desktop or a similar tool.

Usage

Here’s an example of using systems-mcp to run and render a model.

Example of prompt for  using systems-mcp

Here is the artifact generated from that prompt, including the output from
running the systems model.

Example of artifact for using the output of systems-mcp

Finally, here is an example of using the load_systems_documentation tool to prime
the context window and using it to help generate a systems specification.
This is loosely equivalent to including lethain:systems/README.md in the context window,
but also includes a handful of additional examples
(see the included files in ./docs/.

Example prompt of loading documentation into context window

Then you can render the model as before.

Example prompt of rendering the generated model

The most interesting piece here is that I’ve never personally used systems to model a social network,
but the LLM was able to do a remarkably decent job at generating a specification despite that.

Installation

These instructions describe installation for Claude Desktop on OS X.
It should work similarly on other platforms.

  1. Install Claude Desktop.

  2. Clone systems-mcp into
    a convenient location, I’m assuming /Users/will/systems-mcp

  3. Make sure you have uv installed, you can follow these instructions

  4. Go to Cladue Desktop, Setting, Developer, and have it create your MCP config file.
    Then you want to update your claude_desktop_config.json.
    (Note that you should replace will with your user, e.g. the output of whoami.

     cd /Users/will/Library/Application Support/Claude
     vi claude_desktop_config.json
    

    Then add this section:

     {
       "mcpServers": {
         "systems": {
           "command": "uv",
           "args": [
             "--directory",
             "/Users/will/systems-mcp",
             "run",
             "main.py"
           ]
         }
       }
     }
    
  5. Close Claude and reopen it.

  6. It should work…

Tools

No tools

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