The problem: When you're coding with Claude Code, sometimes you want strategic feedback on your architecture, alternative approaches to a problem, or help debugging a tricky issue. Claude is great, but having a second AI perspective can be valuable.
Kortx provides four specialized consultation tools:
• think-about-plan: Get strategic feedback on technical plans (clarity, risks, dependencies) • suggest-alternative: Explore different approaches with trade-off analysis • improve-copy: Enhance documentation and messaging for clarity • solve-problem: Debug assistance with root cause analysis
What makes it interesting:
• Uses the GPT-5 Responses API (not Chat Completions) with reasoning effort controls • Automatically gathers relevant context from your codebase via Serena, graph-memory, and CCLSP integrations • Built on the Model Context Protocol, so it works with any MCP-compatible AI assistant • Designed to prevent MCP timeouts with optimized defaults (gpt-5-mini, minimal reasoning)
Technical stack: TypeScript, Zod validation, Pino logging, Docker support, full CI/CD with provenance
It's been really useful in my own development workflow - the architecture review and alternative suggestions have saved me from several poor design choices.
GitHub: https://github.com/effatico/kortx-mcp NPM: npx @effatico/kortx-mcp Docs: https://github.com/effatico/kortx-mcp#readme
Would love feedback from the HN community, especially if you're using Claude Code or other MCP clients!