"Designing UI (User Interfaces)" matching MCP servers:

Intelligent AI routing and integration platform for seamless provider switching

A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.

An MCP (Model Context Protocol) server that lets AI agents manage Power BI workspaces, datasets, and refreshes via natural language.

A Model Context Protocol (MCP) server that exposes the EasyDeploy public REST API as tools for Claude, Cursor, Claude Code, and other MCP clients.

Connects Claude to Portkey's API for managing AI configurations, workspaces, analytics, and user access, providing comprehensive control over API usage and settings.

Implementation of Model Context Protocol (MCP) server that provides tools for accessing Google Cloud's Vertex AI Gemini models, supporting features like web search grounding and direct knowledge answering for coding assistance and general queries.

MCP server for Huawei Cloud GaussDB database, offering 24 tools for connection testing, queries, transactions, metadata, diagnostics, and user management, plus schema resources.

An MCP server for Sakura Cloud that enables interaction with cloud resources and object storage. It allows users to manage Sakura Cloud infrastructure through natural language interfaces using the Model Context Protocol.

Enables AI assistants to directly manage database tables, execute SQL, and handle user operations in iadev projects from the editor.

Enables AI assistants to interact with Semaphore UI for managing Ansible, Terraform, and other automation workflows through project, task, template, and inventory management.

A Model Context Protocol server that enables AI agents to interact with Alibaba Cloud DataWorks through standardized interfaces, allowing seamless management of DataWorks resources and operations via the DataWorks Open API.

A database operation tool for uniCloud based on MCP protocol that allows AI assistants to perform database CRUD operations through standardized interfaces.

A Model Context Protocol server implementation that connects to AWS Cognito for authentication and user management, providing tools for user flows including sign-up, sign-in, and password management.

Enables AI assistants to deploy and manage hosted apps from git repos, read logs, add Postgres databases and domains, manage API keys and budgets, and send requests to 200+ AI models. Connects over remote Streamable HTTP with OAuth sign-in, so users need no API keys, installs, or local server.

Floom MCP server — deploy Python apps instantly with auto-generated UI, REST API, and shareable URLs. 32 tools for AI agents.

An MCP server that enables AI models to access user geolocation information through EdgeOne Pages Functions.

Enables read-only access to Microsoft Fabric data-pipeline run history and DAX queries against semantic models, with optional write mode for pipeline execution and dataset refresh.

Enables AI-powered image and video analysis using Google Gemini and Vertex AI models. Supports analyzing single or multiple images, detecting objects with bounding boxes, and video content analysis through natural language prompts.

Enables read-only AWS cost exploration, forecasting, and anomaly detection through natural language using user-connected IAM credentials.

Enables AI agents to interact with the app via MCP tools and resources, supporting self-improvement through goal-setting and metrics tracking on Cloudflare Workers.