FastMCP Science Demo
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_random_pointsA | Generate random point data and save it as a CSV in output_dir. |
| plot_sine_waveA | Plot a sine wave and save it as a PNG in output_dir. |
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 clearly distinct purposes: one generates random point data, the other plots a sine wave. There is no overlap or ambiguity.
Both tools follow a consistent verb_noun pattern: generate_random_points and plot_sine_wave. The naming is clear and predictable.
With only 2 tools, the server feels minimal for a science demo. While it might be intentionally lightweight, it is on the low end of reasonable scope.
The tool set lacks integration between the two capabilities. There is no tool to visualize the random points or generate data for the sine wave plot, leaving a gap in typical scientific workflows.