"Super User" matching MCP servers:

Spawn parallel autonomous AI agent sessions from a single MCP client. Each agent gets its own workspace, tools, and execution context.

A Model Context Protocol server that provides integration with LeetCode APIs, enabling automated interaction with programming problems, contests, solutions, and user data across both leetcode.com and leetcode.cn platforms.

Enables coding agents to install and manage Paydirt's iOS SDK for user feedback, trial cancellation, and subscription cancellation, with Slack integration and app building.

Exposes the active file and selection(s) from VS Code to MCP clients, enabling CLI coding agents to access current editor context.

A referee for self-improving AI agent loops that mines past sessions, improves workflows, and never stops until told.

Rewrites coding prompts for optimal results with AI IDEs like Cursor by using Claude to add structure, context, and language-specific considerations to user prompts.

Enables Hermes agents to delegate bounded coding tasks to persistent oh-my-pi sessions with isolated git worktrees, live steering, and durable follow-ups, requiring explicit user confirmation before each task.

Enables Codex to act as a user of a live Claude Code session. It provides tools to send messages, read outputs, manage sessions, and review diffs, allowing mid-task corrections without losing context.

Exposes DeepSeek Harness's coding agent as a model backend via MCP, with user-confirmed task execution and self-inspection/config-patch tools.

Turns product ideas into implementation-ready planning packages including PRD, requirements, user flow, wireframes, data schema, API contracts, and SDK boundaries, with an MCP handoff for coding agents.

Controls coding agents by enforcing structured implementation plans with PRs and commits as work units, requiring user review at each commit checkpoint to prevent agents from going off track. Includes a visualization dashboard for tracking progress in real-time.

Enables autonomous coding agents to escalate complex technical questions to ChatGPT Desktop app via ToS-compliant UI automation, returning expert responses automatically without user intervention.

Enables automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.

Adds a human-in-the-loop checkpoint to MCP-capable AI coding agents, enabling them to pause and request user feedback before executing actions.

A code understanding and generation system designed for Galacean Engine that helps LLMs comprehend the engine architecture and generate high-quality engine code based on user intent.

Bug-report triage and fix-dispatch MCP for vibe coders. Ask your AI coding agent for a plain-English diagnosis of any user-reported bug — with evidence, blast radius, and a paste-ready fix prompt — then dispatch an automated GitHub fix PR without a second LLM key. 71 tools, Supabase-backed, MIT SDK. npx @mushi-mushi/mcp

Enables programmatic control of the Z.ai/Zhipu desktop AI coding agent by spawning and owning its headless agent runtime and speaking the ZCode Protocol over stdio, rather than simulating a user. Exposes tools to run and steer chat sessions, inspect conversations and file changes/rewinds, and manage settings, providers, plugins, MCP servers, automations and approvals under a deny-by-default policy with mandatory read-back verification.

Local-first, auditable memory for Codex, Claude Code, and MCP clients. It stores scoped user/project memory in SQLite or Postgres, serves read-only recall and inspection tools by default, and supports opt-in governed writeback with review and forget controls.

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 AI coding assistants like Cursor and Claude to engage in real-time two-way dialogue, allowing them to pause for clarification and request user confirmation before executing tasks. It features a modern UI for managing interaction prompts, predefined options, and project analysis to reduce errors and API costs.