"Super User" matching MCP servers:

An MCP server implementing AI-user confirmation protocols, providing tools for LLMs to seek user confirmation when uncertain through yes/no questions, action confirmations, intent clarification, understanding verification, and satisfaction ratings.

react-mcp integrates with Claude Desktop, enabling the creation and modification of React apps based on user prompts

A CLI tool that runs a Model Context Protocol server over stdio, enabling interaction with specification documents like business requirements, product requirements, and user stories for the Specif-ai platform.

A mathematical expression calculator that processes user-input expressions and returns computed results, supporting basic operations and built-in constants like PI and E.

A referee for self-improving AI agent loops that mines past sessions for effective workflows, improves them, and requires measured proof before declaring anything better or done, never stopping until the user stops it.

An application that demonstrates the future of user interactions through natural language with LLMs, enabling user registration, authentication, and data interaction exclusively via Model Context Protocol (MCP) tools.

Cuts AI token costs by running user code in a secure sandbox, so data never enters the context window, enabling efficient data processing with MCP protocol.

An MCP server that runs a quality gate on generated code, executing it in a sandbox and scoring it before returning the code to the user.

A feature-rich LeetCode MCP server that enables problem search, user data retrieval, code execution, and notes management for both leetcode.com and leetcode.cn.

Enables safe, remote execution and management of user JavaScript scripts through a Rust-based backend, with change preview and confirmation before applying updates.

Enables running user-supplied scripts inside resource-limited, network-isolated Docker containers built from human-reviewed Dockerfiles, with jobs driven by an outbound-only worker.

Enables large language models to access user geolocation information through EdgeOne Pages Functions using the Model Context Protocol.

Enables external agents to run, edit, create, and manage the Jupyter notebook the user is actively editing in VS Code, headlessly and without approval dialogs. Works with any MCP client and is Jupyter-optional for document operations.

An MCP server that exposes any OpenAPI REST API via two tools: search for discovering endpoints and execute for making API calls. It uses Code Mode to keep token footprint low and runs user-written JavaScript in a sandbox.

Connects MCP-compatible assistants to Blender to read scene and selection context, and optionally execute user-requested Python through Blender's native API when explicitly enabled.

Enables AI agents to interact with collaborative Jupyter notebooks and documents in real-time, supporting notebook operations, document editing, user awareness tracking, and session management through Jupyter's RTC capabilities.

An extensible MCP server for database operations that supports PostgreSQL for managing schemas, tables, data, and user permissions. It features automatic migration recording for DDL changes and integrates with various AI-powered editors like Cursor, Zed, and Claude Code.

A starter template for creating MCP servers that work with Puch AI, featuring ready-to-use tools for job searching and image processing. Includes examples for Bearer token authentication, OAuth integration with Google and GitHub, and demonstrates user-scoped data management.

Enables AI agents to directly control Roblox, reverse engineer games, intercept network traffic, simulate user input, and manipulate game state through 150+ MCP tools.

MCP server that gives any LLM a managed Docker workspace with live browser, terminal, code execution, document skills, and autonomous sub-agents.