| Summary | AI-native architecture platform for engineering teams. Describe a system in natural language (e.g. "payment service with Stripe, Kafka, PostgreSQL") → get an interactive typed diagram with 167 cloud components → export to 14 production frameworks (Java Spring Boot, Python FastAPI, Go chi, Rust Axum, .NET, Kotlin Ktor, Ruby Rails, Elixir Phoenix, Docker Compose, Terraform, Mermaid, ADR, and more). Drift detection (syncarchitecture) scores saved diagrams against live code 0–100 with a structured diff. 9 quality-lint rules catch orphans, SPOFs, god services. Also includes a secondary persistent code-graph layer for AI coding agents (free offline via npx tentra-mcp --local init). Agent-as-LLM pattern — zero LLM cost on our side, zero API key on yours. 35 MCP tools. Works in Cursor, Claude Code, Codex, Windsurf. | Deterministic AI data-center design engine exposed as MCP tools (design, validate, layout): rack count, design PUE, total MVA, liquid/air cooling split, CDU planning, cost & timeline. NVIDIA Rubin-era, 22.9 kV intake, Korea. Remote Streamable HTTP at https://aidc-ai.io/api/mcp; no key for the anonymous tier. |
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