"A clean web agent named x402-cleanweb-agent" matching MCP servers:

Enables AI agents to maintain a living flowchart of a project with 14 MCP tools, auto-layout, and a zero-dependency HTML viewer, providing visual status tracking with 7 color-coded states.

Enables users to turn ideas or PRDs into component selections and architecture designs, audit existing projects with static scans, and manage long-running planning/auditing tasks with caching, cancellation, budget tracking, and checkpoint resume via MCP tools.

A TypeScript-based MCP server that automatically generates structured technical presentation PPTX files via deck JSON and layout engine.

Enables scaffolding and managing Clean Architecture in Next.js projects, providing tools to initialize structure, create features with all layers, and validate architecture compliance.

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

Enables AI coding agents to design, analyze, and evaluate agent system designs against a curated catalog of agent patterns, with retrieval, scoring, and refinement workflows.

A TypeScript stdio MCP server that lets agents read, import, propose connections for, and apply optimistic patches to versioned agent-draw diagram documents.

Generates hand-drawn Excalidraw diagrams from natural language prompts or structured descriptions, with tools for creating, listing, and opening diagrams directly in the browser.

Generates editable Excalidraw diagrams from natural language system descriptions, with properly bound arrows and labels. Includes tools for diagram creation, validation, and backend status.

Enables agents to prepare bounded architecture tasks through proposal, scheduling, and observation tools while keeping human approval and document acceptance outside MCP.

Turns structured JSON content into resolved, audited infographic plans and renders them as SVG or executable Figma Plugin API scripts, exposing theme packs, grammars, planning, auditing and export tools over stdio. Also lets hosts inspect theme provenance and layout decisions so different tools produce identical frames.

Enables AI agents like Claude to interact with Figma designs through 50+ tools for creating, styling, and manipulating design elements, components, and variables via a WebSocket relay and Figma plugin.

Provides UI architecture analysis for converting Figma designs or web pages into reusable UI code blocks with effort estimation in CSV format.

Enables coding agents to record, search, and supersede ADR-style decisions and machine-checkable constraints stored as git-friendly markdown in a repository, linked to SpecGate requirement ids, tests and commits. It also surfaces the relevant constraints and decisions for a task and checks a proposed change or diff for conflicts before it is committed.

Enforces a rigorous spec-driven engineering workflow for AI coding assistants, requiring requirements, design, and task planning before any code is written.

Provides cloud architecture analysis, recommendations, and artifacts (diagrams, ADRs, deployment comparisons) for any project, supporting AWS, GCP, and Azure.

Validates and renders declarative JSON diagram specs to themeable SVG. The format has no coordinates, so a model writes structure and the renderer does the layout; tools: validate, render, kinds.

Cloud infrastructure provisioning via natural language. Enables deploying production-ready infrastructure on AWS, GCP, Azure, or Oracle with a single prompt.

A Model Context Protocol server that gives an LLM a structured visual layer to describe what exists and get back a clean, precise SVG diagram instead of ASCII art.

Enables coding agents to write repository documents (READMEs, RFCs, design docs, ADRs) from verified codebase facts, using a separate model for drafting and agent fact-checking for accuracy.