"Integrating Automated Payment Systems" matching MCP servers:

Provides systems thinking models as composable analysis lenses for architecture, infrastructure, DevOps, incident analysis, and technical decision-making.

Generates engineer-grade SaaS specifications — design systems, database schemas, and RLS policies for AI build tools like Lovable, Cursor, and Claude Code. 4 tools, TypeScript, MIT licensed.

Generates draw.io diagrams and architecture designs from natural language prompts using DrawX API, integrating with Claude, Cursor, and VS Code.

An MCP server for Excalidraw diagram creation and headless rendering, enabling interactive canvas editing and automated SVG/PNG export via Playwright.

An architecture consulting server that reviews multi-agent systems against a knowledge graph of patterns derived from expert literature. It provides grounded recommendations with chapter citations, maturity scoring, and interactive architecture diagrams to identify and fix structural gaps.

A Windows-based MCP server that exposes NIST's CONTAM simulation tools and ContamX bridge-mode controls to AI agents. It enables automated airflow and contaminant transport modeling, including project inspection, simulation execution, and real-time bridge session management.

Enables analysis of KiCad electronic schematics through natural language queries to search components, trace signal paths, explore connections, and analyze multi-board systems.

Enables AI agents to programmatically create, modify, and analyze Draw.io diagrams through the Model Context Protocol. Supports generating architectural diagrams, flowcharts, and visualizations with bidirectional communication between AI systems and Draw.io.

Enables AI assistants to control Cadence Xcelium and SimVision simulators in real time for automated RTL and gate-level debugging. It provides 25 tools for signal inspection, watchpoints, binary search, and simulation state management.

12 deterministic graph-theory tools for structural analysis. Describe systems in EN syntax (subject do: action needs: inputs yields: outputs) — get topology, bottlenecks, blast radius, critical paths and lot more. No AI inside the computation.

Provides programmatic access to Arcas OnlineEDA platform for electronic design automation, enabling formal verification, equivalence checking, power analysis, security verification, and FPGA design through natural language and automated workflows.

MCP bridge to live SysML v1 models in CATIA Magic / Cameo Systems Modeler (No Magic MSoSA). Lets Claude Code or any MCP agent query, audit, and edit MBSE models — blocks, requirements, diagrams, parametrics, traceability — over a local, air-gapped connection.

An MCP server implementing Spec-Driven Development workflows for AI-agent CLIs and IDEs like Claude Code and Cursor, enabling spec-first development with automated workflow guidance and quality checks.

An MCP server that integrates CST Studio Suite with the Model Context Protocol to enable automated electromagnetic simulation workflows. It provides specialized tools for material definition management and direct interaction with the CST Studio Suite environment.

Enables read-only access to Sparx Systems Enterprise Architect repositories stored in various database systems via ODBC, allowing AI assistants to browse and query model data without requiring Windows or a running EA instance.

Enables AI agents to architect and scaffold high-performance PostgreSQL-backed systems using the wpostgresql library, with tools for pattern search, connection validation, and project generation.

Generates editable Excalidraw diagram files from natural language descriptions of systems and architectures.

Assists AI developers with intelligent requirement analysis and architecture design through guided clarification questions, branch-aware management, and automated architecture generation with persistent storage.

A temporal knowledge graph system that enables users to record and query architectural decisions, implementation patterns, and project failures. It integrates with Claude to provide hybrid search, timeline tracking, and automated knowledge gap detection using graph analysis.

Enables coding agents to natively invoke Java project scaffolding operations such as initializing projects, adding modules, designing systems, and suggesting architectures.