Connects directly to IA-QA's testing infrastructure for evaluating LLM agents and RAG pipelines without leaving your IDE. You get prompt testing, RAG audit tools, and CI-ready assertions that work in Cursor, Claude Desktop, Windsurf, or any MCP-compatible environment. The appeal here is immediate access to classical testing methods alongside LLM-specific evaluation tools, all without authentication overhead. Reach for this when you're iterating on agent behavior and need fast feedback loops on retrieval quality, prompt variations, or response consistency. No API keys, no signup, just hook it up and start testing your AI systems with the same rigor you'd apply to traditional code.
io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage
io.github.mikerawsonnz/llm-orchestration-agent
io.github.mikerawsonnz/authenticated-llm-agent
labforgedev/copilot-memory-mcp
csoai-org/agent-prompt-injection-firewall-mcp
io.github.mikerawsonnz/authenticated-multi-llm-agent