Systems MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| run_systems_modelC | Run a systems model and return output of list of dictionaries in JSON. Args: spec: The systems model specification rounds: Number of rounds to run (default: 100) |
| load_systems_documentationB | Load systems documentation, examples, and specification details to improve the models ability to generate specifications. Returns: Documentation and several examples of systems models |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: one loads documentation/examples for reference, while the other executes a model with given specifications. There is no overlap in functionality, and an agent would easily differentiate between them based on their clear descriptions.
Both tools follow a consistent verb_noun pattern with snake_case naming: load_systems_documentation and run_systems_model. The naming is predictable and readable, with no deviations in style or convention across the set.
With only 2 tools, the server feels thin for the domain of 'systems modeling,' which typically involves more operations like creating, updating, or analyzing models. This limited set may hinder agents from performing comprehensive tasks, as it lacks tools for specification generation, validation, or result analysis beyond basic execution.
The tool set is severely incomplete for systems modeling. It provides documentation loading and model execution but misses essential operations such as creating or editing specifications, validating models, analyzing outputs in-depth, or managing model versions. This creates significant gaps that will likely cause agent failures in real-world scenarios.