Penrose MCP Server
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 |
|---|---|
| create_domainC | Create domain-specific language (DSL) definitions |
| create_substanceC | Define mathematical objects and relationships |
| create_styleD | Define visual representation rules |
| generate_diagramC | Generate diagram from domain/substance/style |
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 4 tools
Each tool has a clearly distinct purpose with no overlap: create_domain defines DSLs, create_style handles visual rules, create_substance manages mathematical objects, and generate_diagram produces the final output. The descriptions clearly separate these stages in the diagram creation workflow.
All tools follow a consistent verb_noun pattern with 'create_' for three tools and 'generate_' for the final step, maintaining readability and predictability. The naming convention perfectly reflects the logical flow from creation to generation.
Four tools is well-scoped for a diagram generation server, covering the essential components (domain, style, substance) and the final generation step. Each tool earns its place without redundancy or missing functionality for the apparent workflow.
The tool set covers the core Penrose diagram creation workflow comprehensively, with no dead ends. A minor gap exists in lacking update/delete operations for existing definitions, but agents can work around this by recreating components as needed.