Vincikit
Run a conversational interview in your agent to narrow which models, hosts, and tools belong in your AI product stack before you commit to build.
Overview
io.github.idoco2003/vincikit is a MCP server for the Validate phase that interviews you and recommends an AI technology stack.
What is this MCP server?
- Conversational interviews that drive stack recommendations
- Optional Anthropic API key for Claude-backed suggestions
- Optional Gemini API key for Google-backed suggestions
- npm package @vincikit/mcp-server v2.0.x with stdio transport
- GitHub repo idoco2003/VinciKit with dedicated mcp-server subfolder
- MCP server version 2.0.1
What problem does it solve?
You have too many LLM, hosting, and tooling choices and no structured way to decide what fits a solo AI product.
Who is it for?
Indie builders scoping an AI-heavy SaaS or agent who want guided recommendations inside MCP.
Skip if: Teams that already locked architecture or need hands-on cloud provisioning instead of configuration advice.
What do I get? / Deliverables
You get interview-guided stack recommendations you can paste into specs and implementation plans before writing production code.
- Interview-driven AI stack recommendation set
- Documentable choices for models and supporting services
- Reduced scope risk before Build-phase integration work
Recommended MCP Servers
Journey fit
Stack decisions happen in Validate when you are scoping architecture and proving the idea is feasible before heavy implementation. Scope subphase covers what you will build and with which toolchain—VinciKit explicitly configurers an AI stack via guided recommendations.
How it compares
Conversational stack advisor via MCP, not an infrastructure deployer or code generator.
Common Questions / FAQ
Who is io.github.idoco2003/vincikit for?
Solo and small-team builders validating AI products who want MCP-hosted interviews and recommendations instead of static comparison spreadsheets.
When should I use io.github.idoco2003/vincikit?
Use it in Idea and Validate when choosing models, APIs, and agent patterns before you standardize your repo and CI.
How do I add io.github.idoco2003/vincikit to my agent?
Install @vincikit/mcp-server from npm, register it as a stdio MCP server, and optionally set ANTHROPIC_API_KEY and GEMINI_API_KEY for provider-specific recommendations.