mcp-categorical

You can compose MCP server tools safely by applying Kleisli-style composition patterns, which ensure chainable morphisms and predictable behavior. This categorical approach maps tool integration to mathematical structures, enforcing type-safe context management across your tool ecosystem.

Kleisli-style composition is a category-theory pattern for chaining tools where outputs feed safely into subsequent inputs. It guarantees repeatable, type-safe integrations by enforcing structured morphisms between composable tools within your MCP server.

Yes, categorical tool composition supports cross-language MCP server development across both TypeScript and Python environments. It provides practical design guidance and examples for building typed tool networks in either language.

To scaffold an MCP server, register at least two tools with input schemas, compose them into a pipeline, and run the server to expose the API. You can then test the composed tools using a prompt to fetch and parse data.

Yes, you can enforce zod-based parameter validation to guarantee type-safe integrations and typed context management. This approach uses natural transformations and URIs for resource identity to maintain predictable tool behavior.