What problem does it solve? Building a Model Context Protocol server that works across Claude Desktop, ChatGPT, Cursor, and other AI hosts requires navigating transport differences, protocol handshake rules, stdout hygiene, and platform-specific restrictions, which this Skill codifies into a repeatable engineering workflow. ## Core Features & Use Cases - Automated Scaffolding: Generate complete MCP server projects via scripts/mcp_scaffold.py for universal, gateway, TypeScript stdio/HTTP, Python FastMCP, private-API, and browser-automation archetypes. - Protocol Verification: Validate handshake, ping, tool discovery, and stdout pollution automatically with scripts/verify_mcp_server.py. - Platform & Scaling Guidance: Reference playbooks cover ChatGPT Connectors (search/fetch tools, readOnlyHint), dual stdio/HTTP transports, and the 4-tool Meta-Tool gateway pattern that cuts context usage by roughly 97%. - Use Case: Connect an internal enterprise portal with no public API to Claude Desktop by scaffolding a private-api server, implementing session re-authentication, and verifying it with the protocol tester before registering it in claude_desktop_config.json. ## Quick Start Ask the agent to use the mcp-creator skill to scaffold a universal MCP server for your target service and verify it with the protocol tester.