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davidbirchall/squad-skills-ai-engineering

v0.2.0

AI engineering skills for LLM-powered applications and agent systems: LLM integration, prompt engineering, agent design and orchestration, tool and MCP integration, context engineering, retrieval-augmented generation, evaluation, testing, security, and observability.

mcp-integration

Using and building Model Context Protocol (MCP) servers and clients from a TypeScript/Node/NestJS backend - tools, resources, and prompts; stdio versus HTTP transports; authentication and least privilege; server trust, pinning, and review; tool-description injection risk; schema and spec versioning; connection lifecycle; testing servers; and deciding between an MCP server and a plain in-process tool. Provider-agnostic; verify protocol details against the current spec. Load when connecting an agent to MCP servers, writing an MCP server, or assessing the risk of a third-party server.

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