mcp▌

Generate production-ready Kotlin MCP server projects with Gradle, official SDK, and typed tools. \n \n Scaffolds complete project structure with build.gradle.kts, package layout, and MCP server configuration using io.modelcontextprotocol:kotlin-sdk \n Includes 2–3 sample tools with JSON schema definitions, typed inputs/outputs, and error handling patterns \n Provides coroutine-based server setup with stdio transport, environment variable configuration, and kotlin-logging integration \n Includes

Generate production-ready MCP servers in Java with the official SDK, Maven or Gradle, and reactive streams. \n \n Scaffolds complete project structure with tools, resources, and prompts organized into separate handler classes \n Includes Maven and Gradle templates with MCP SDK, SLF4J logging, Project Reactor, and JUnit 5 dependencies \n Provides ready-to-use handler templates for tools, resources, and prompts with error handling and async Mono-based responses \n Generates test suite examples and

Generate complete, production-ready MCP server projects in Swift with the official SDK. \n \n Scaffolds full project structure with Package.swift, source files organized by capability (Tools, Resources, Prompts), and unit tests \n Includes templates for main.swift with ServiceLifecycle integration, Server.swift configuration, and handler implementations for tools, resources, and prompts \n Provides example tool definitions (greet, calculate) and resource/prompt handlers with proper error handlin

DEPRECATED: Build MCP servers with tools, resources, prompts, and interactive widgets using mcp-use. \n \n This skill is deprecated; use mcp-app-builder instead \n Supports defining tools, resources, prompts, and interactive React widgets within a single MCP server \n Includes response helpers for formatting outputs as text, markdown, HTML, images, objects, and custom widgets \n Provides server composition and proxying to aggregate multiple MCP servers into a unified interface \n

This skill provides patterns for integrating the Mapbox MCP Server into AI applications for production use with geospatial capabilities.

Configure Model Context Protocol (MCP) servers to extend Claude Code's capabilities with external tools like web search, file system access, and GitHub integration.

Scaffold a declarative agent for Microsoft 365 Copilot integrated with an MCP server. \n \n Generates complete project structure including manifest.json, declarativeAgent.json, and ai-plugin.json with tool definitions auto-imported from MCP servers \n Supports OAuth 2.0 and SSO authentication with environment variable configuration and secure credential storage \n Provides response semantics mapping to extract and format API response data for Copilot consumption \n Includes MCP server integratio

Web search and content scraping via DuckDuckGo with configurable result limits. \n \n Provides two core commands: search for querying the web with customizable result counts, and fetch_content for scraping full page content from URLs \n Integrates with the DuckDuckGo MCP Server for real-time search results and webpage extraction \n Useful for agents that need to gather current information, verify facts, or extract text from live web pages \n

Build and deploy remote MCP servers on Cloudflare Workers with tools and OAuth authentication. \n \n Define tools using Zod-validated parameters and expose them via MCP protocol; supports text responses, external API calls, and database bindings \n Two deployment modes: public servers (no auth) and OAuth-protected servers (GitHub, Google, Auth0, and other providers) \n Test locally with MCP Inspector, deploy with Wrangler CLI, and connect clients via Claude Desktop or other MCP-compatible applic

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