Skill UI

This mandatory guide provides comprehensive patterns and best practices for building production-ready MCP (Micro-Cloud Platform) servers using the mcp-use framework. It covers the entire development lifecycle, including project scaffolding, core architecture, implementing backend tools and resources, and integrating advanced authentication methods (OAuth, Auth0, Keycloak, etc.). It is essential reading before creating or modifying any MCP server.

Analyzes a codebase to surface targeted Claude Code automations—hooks, subagents, skills, plugins, and MCP servers—so users know which extensions to add for workflows, testing, docs, or infrastructure.

Covers modern C#/.NET backend patterns for building production-grade APIs, MCP servers, and enterprise services with DI, caching, resilience, and testing best practices.

Guide for building high-quality MCP servers that let LLMs interact with external APIs via workflow-focused tools, SDKs, validation, and error handling in Python or TypeScript.

Guides the creation of MCP servers that let LLMs interface with external APIs or services, covering research, planning, and implementation in TypeScript, Python, or Microsoft stacks along with naming, transport, and tooling best practices.

Guides engineers through building, testing, and deploying Model Context Protocol servers or clients that link AI systems with external tools, emphasizing transports, Zod/Pydantic schema validation, and JSON-RPC compliance checks.

Guides plugin developers through integrating Model Context Protocol (MCP) servers into Claude Code, covering configuration files, server types (stdio, SSE, HTTP, WS), environment variables, and authentication so external services appear as structured tools.

Integrates MCP (Model Context Protocol) servers with Windsurf to extend Cascade’s reach into databases, filesystems, APIs, and custom toolchains, providing a standardized workflow for configuring, authenticating, and deploying external service connections.

A powerful tool designed to scaffold and generate production-ready MCP servers directly from OpenAPI specifications. It treats OpenAPI as the single source of truth, automatically converting API paths and operations into standardized tool definitions. Supports both Python and TypeScript implementations, ensuring schema consistency, robust validation, and safe versioning for exposing internal APIs to LLM agents and other services.

Guides building MCP servers with Node/TypeScript SDKs, covering registration of tools, resources, prompts, and choosing stdio or streaming HTTP transports, plus Zod validation and best practices.

Score MCP servers, APIs, or CLI tools with Clarvia AEO, surfacing agent-readiness across API access, data structuring, compatibility, and trust signals before workflows or CI gates.

Workspace Surface Audit scans repo files, MCP servers, plugins, connectors, and environment configs to report current capabilities and recommend ECC-native skills, hooks, agents, or workflows for setups like Claude Code.