"Iterating on UI designs and improving prompts" matching MCP servers:

Provides Claude with persistent memory and learning capabilities through 10 automatic agents that capture decisions, errors, solutions, and patterns across conversations. Features an anti-compaction system to prevent context loss and enables infinite conversation continuity.

Enables hot-reloadable prompt templates with structured reasoning frameworks, quality gates, and multi-step chain workflows that can be version-controlled and executed immediately without restarts.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables AI agents to automate GUI interactions across Windows, Linux, macOS, Android, iOS, and browsers using structured platform APIs first, with vision grounding as a fallback for robust cross-platform computer use.

Provides professional UI/UX design expertise and frontend development tools for analyzing interfaces, generating design systems, and creating modern components with accessibility and best practices built-in. Supports React, Vue, Angular and other frameworks with seamless Claude Code CLI integration.

Small MCP server for GNOME Wayland desktop automation, enabling element lookup, activation, typing, screenshots, and wait helpers through AT-SPI and Mutter RemoteDesktop.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables AI agents to autonomously debug UIs by delegating high-level stories to a small agent that drives browsers or desktop apps and reports structured pass/fail findings with evidence.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.

MCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

A foundation for building interactive applications using the Model Context Protocol that integrates AI capabilities with Magic UI components.

A Model Context Protocol server that enables AI agents to generate, fetch, and manage UI components through natural language interactions.

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

FastMCP is a comprehensive MCP server allowing secure and standardized data and functionality exposure to LLM applications, offering resources, tools, and prompt management for efficient LLM interactions.

An MCP-based trivia game server where AI creates rounds with two true statements and one false 'twist' about various topics, letting players guess which statement is false.

A simple server that acts as a Master Control Program (MCP) for unified interaction with OpenAI and Anthropic (Claude) AI models through a single API endpoint.

A simple Nuxt application that serves as a Model Context Protocol server deployable on Vercel, allowing developers to implement AI tools, prompts, and resources through the MCP TypeScript SDK.