MCP server with evaluation harness, prompt library, and deployment. The standard stack for building tool servers for AI systems.
Render it
# CLI
npx @nanohype/sdk render-composite mcp-toolkit --out ./my-app
# SDK
import { LocalSource, renderComposite } from "@nanohype/sdk";
const result = await renderComposite(source, "mcp-toolkit", variables);
# MCP — from an agent
get_composite({ name: "mcp-toolkit" })
What it draws together
Variables
Required
ProjectName string- Project name used across all templates Must be lowercase kebab-case.
ServerName string- Human-readable MCP server name
Optional
IncludePrompts bool — defaults to true- Include versioned prompt library
IncludeEvals bool — defaults to true- Include evaluation harness