"Client library for the Fortuna API" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Vedic and Western astrology for AI agents: charts, dasha, matchmaking, panchanga, numerology, tarot.
Commission a multi-model AI spec committee from your agent; get rubric-scored, build-ready specs.
Architecture docs and patterns for NestJS + Nuxt full-stack apps
40+ production-ready SwiftUI recipes for building full-stack iOS apps via MCP.
Create and edit architecture diagrams from your AI agent; get an SVG and a live editable canvas.
Create and edit collaborative architecture diagrams with any AI assistant using the Trident 2D DSL.
OSS libs in your stack, really used: source, tests, callers. C#, Java, TS, Python, Rust, PHP+.
Read-only, source-backed compatibility lookups and approved changes for ResolveMesh's catalog.
AI agent draws editable hand-drawn diagrams (flowchart, ER, architecture) via MCP, not static images
MCP gateway with 10 tools for code analysis, architecture, package audit & security.
AI data-center design engine: size, validate & lay out Rubin-era data centers. Korea live.
Geometry and CAD file metadata extraction for STL, OBJ, PLY, PCD, LAS/LAZ, glTF/GLB.
Provides UX capabilities to enhance the design output and understanding of AI systems.
The Decision Operations Platform for engineering teams
MCP server for AI Diagram Maker — generate software engineering diagrams from natural language, code, ASCII diagram, images, or Mermaid. Inline diagram rendering using MCP apps UI and diagram URL in responses. Works with Cursor, Claude Desktop, Claude Code, and any MCP-compatible AI.
EN Diagram — structural verification for concurrent systems. Pure math, no AI.
Parse Excalidraw diagrams and documents into clean Markdown or structured JSON via x402 pay-per-call API. Agents pay per call with HTTP 402 micropayments — no signup, no API key. Free tier: 5 parses/day. Premium: $0.05/call unlimited with LLM decomposition.
Draw your app's architecture on a live canvas and flag the bottlenecks and security gaps.
Compile full-stack apps from one architecture spec, with a shared Memory Fabric.
Evidence-backed architecture-quality analysis for Python agent applications.
