Penrose
This Penrose MCP server, developed by Teglon Labs, provides a TypeScript-based interface for AI assistants to create mathematical diagrams using Penrose's domain-specific languages. Built with the Model Context Protocol SDK, it offers tools for defining mathematical types, describing objects and relationships, and specifying visual representation rules. The implementation focuses on bridging natural language inputs with Penrose's DSL, Substance, and Style languages, making it easier for AI models to generate accurate and visually appealing mathematical diagrams. It's particularly useful for enhancing mathematical communication in educational contexts, research papers, or technical presentations, enabling the creation of complex diagrams without requiring deep knowledge of Penrose's underlying systems.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/bmorphism/penrose-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Penrose from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.