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Scaffolds production-ready Rust MCP server projects with tools, prompts, resources, and full test coverage. \n \n Generates complete project structure with Cargo.toml, handler implementations, and integration tests using the official rmcp SDK \n Supports multiple transport types (stdio, SSE, HTTP) with configurable features and async/await patterns throughout \n Includes macros for tool definition ( #[tool] , #[tool_router] , #[tool_handler] ) and type-safe parameter handling via schemars::JsonS

Standardized MCP server implementation patterns with LangChain4j for extending AI capabilities. \n \n Provides tool providers, resource providers, and prompt template patterns to expose custom capabilities through the Model Context Protocol \n Supports multiple transport mechanisms including stdio for local processes and HTTP for remote servers \n Includes Spring Boot integration, multi-server configuration, and dynamic tool discovery with context-aware filtering \n Implements security patterns

Connect AI agents to GraphQL APIs through the Model Context Protocol with built-in introspection and operation tools. \n \n Exposes GraphQL operations as MCP tools; supports three operation sources: local files, GraphOS Studio collections, and persisted query manifests \n Provides four introspection tools (introspect, search, validate, execute) for schema exploration and ad-hoc query testing; minification mode reduces token usage with compact notation \n Configurable authentication via static he

Complete TypeScript MCP server project generator with tools, resources, and transport configuration. \n \n Scaffolds a full Node.js/TypeScript project with @modelcontextprotocol/sdk, zod validation, and choice of HTTP (Express) or stdio transport \n Generates at least one production-ready tool with schema validation, error handling, and structured content responses \n Includes tsconfig.json with ES modules, proper package.json setup, and dev tooling (tsx/ts-node) \n Optionally adds resources wit

Build server-side rendered applications using modern template engines, view layers, and data-driven HTML generation with caching, streaming, and performance optimization across Python, Node.js, and Ruby frameworks.

Create and manage Hetzner Cloud servers using the hcloud CLI.

Goal: Keep route.ts minimal. Put logic + Zod schemas in lib/* so both the MCP handler and server actions share a single source of truth.

You are guiding a developer through designing and building an MCP server that works seamlessly with Claude. MCP servers come in many forms — picking the wrong shape early causes painful rewrites later. Your first job is discovery, not code.

Server management principles for production operations. Learn to THINK, not memorize commands.

Complete reference for running Agentica SDK with a local Claude proxy. This enables Python agents to use Claude CLI as their inference backend.