"Model-Controller-Presenter (MCP) for Building iOS Apps" matching MCP servers:

Provides real-time access to Japanese building standards laws and regulations from e-Gov API, helping prevent AI hallucinations by validating citations against original legal texts.

Enables building configurable workplace dashboards with eight MCP apps/widgets for agenda, brief, attention, goals, leave, learning, updates, and actions, all backed by synthetic live data via a standard MCP server.

Provides comprehensive building and office address information queries for enterprises in China, including fuzzy enterprise search, office address details and statistics, and building information queries to support geographical distribution and occupancy analysis.

An MCP server that seats multiple LLMs as a council, letting your assistant query them in parallel or in sequence, relay answers for cross-critique, and merge conclusions within one conversation.

A demo MCP server that returns an interactive dashboard (bar chart with dataset selector) as an MCP App via the official MCP Apps extension (SEP-1865).

An MCP server for controlling KR-series relay controllers via serial, TCP, or UDP, featuring auto-discovery, relay control, and advanced PLC capabilities.

Provides AI agents with a toolset to query model inventories, trace dependencies, and analyze the impact of changes across machine learning models and data pipelines.

Enables inspecting ONNX models, probing the deployment environment, and benchmarking inference latency and FPS either locally or on remote SSH targets such as Linux workstations and Jetson devices. Benchmark results are validated against FPS, P95 latency and model-size constraints to produce PASS/FAIL deployment gates.

Provides an MCP Apps interface to the Upvote Club API, enabling task management with an inline progress card UI in Claude.

One MCP server that routes to 12+ AI providers for text, image, and video generation, with smart task delegation, web search, and model comparison—all from the terminal.

A proof-of-concept demonstrating interactive UI capabilities for MCP servers through a task management example. Shows how MCP servers can deliver HTML/CSS/JS interfaces that render inside AI chat clients with bidirectional communication.

An MCP server that lets Claude read and push Google Apps Script code directly into a script project.

Provides 25 interactive automotive intelligence tools for real-time market data, including VIN decoding, price predictions, and inventory analytics. It enables AI assistants to perform car searches, trade-in estimations, and market trend analysis using the Model Context Protocol.

An MCP server that provides a Reversi game where the AI cannot cheat because game rules are handled server-side.

Interactive MCP server for Upvote.club's public API, featuring a task progress card for get_task_status.

An MCP server that turns the Hugging Face Hub into a conversational model picker with a tool-use eval harness to prove the agent actually uses it correctly.

Routes questions to a council of AI models (local and cloud) and synthesizes their answers in five configurable modes: individual, categorized, deconflicted, pooled, and dialectic.

Enables agents to query governed metrics through MCP, including describing metrics, running deterministic SQL against a warehouse, explaining join path preferences, and searching semantically ambiguous terms.

Enables MCP-compatible clients to call TokenHub's image generation and editing APIs through natural language, supporting text-to-image, image-to-image, and configurable model and endpoint settings.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.