What problem does it solve? Connecting AI agents to external APIs, databases, and filesystems requires a consistent protocol; ad-hoc integrations produce untyped tools, broken auth flows, and unhelpful errors that agents cannot recover from. ## Core Features & Use Cases - Server Implementation: Build MCP servers in TypeScript with the official SDK, defining tools with JSON Schema or Zod validation over stdio or Streamable HTTP transports. - Auth & Error Handling: Implement OAuth, bearer token, or env-var authentication with mcp_auth flows, plus structured error codes (INVALID_PARAMS, RATE_LIMITED) that tell agents how to recover. - Testing & Hardening: Validate tools with the MCP Inspector and automated client tests, then apply production practices like timeouts, idempotency, and least-privilege tool exposure. - Use Case: You want Cursor to query your orders database. Use this Skill to scaffold an MCP server exposing a search_orders tool, configure it in Cursor's mcpServers settings, and verify the full auth and error-handling flow. ## Quick Start Ask the agent to scaffold an MCP server in TypeScript exposing a typed search tool and configure it in Cursor's mcpServers settings.