"CCC" matching MCP servers:

Enables Godot 4 editor interaction through MCP, including project/scene inspection, script writing, and a 2D roguelike skill for AI agents.

Lets AI agents check remaining MiniMax Token Plan quota and automatically pause themselves before hitting rate limits.

Delegates heavy development tasks from a supervisor to an autonomous worker on a cheaper model via MCP, with isolated git worktrees and provider-agnostic support.

MCP server that spawns autonomous Claude Code agents in GitHub repos, enabling task delegation with persistent state, multi-step workflows, and job monitoring.

Build agent skills where you work — write a script, add a SKILL.md, and use it in Claude Code/codex/Cursor immediately. The same fixed entry point that runs locally deploys to production without a rewrite.

This is a powerful Model Context Protocol (MCP) server that integrates multiple AI coding agents—Anthropic Claude Code, OpenAI Codex, and Google Gemini—directly into your workflow. It enables seamless cross-provider analysis, leveraging Gemini's massive token window, Codex's specialized coding capabilities, and Claude's advanced reasoning.

Real-time audit and approval system for Claude Code tool calls, enabling monitoring and control of AI agent actions with a web dashboard.

Enables coding agents like Codex to use the ChatGPT web app as a planning and review brain, letting ChatGPT read only needed code via OAuth MCP and submit locally authorized tasks without API keys or repository uploads.

Enables protocol-level runtime verification of AI agent tool calls across six dimensions with a fail-closed guarantee, blocking any action that fails verification before execution.

Enables asynchronous and parallel execution of Claude Code tasks across multiple sessions, allowing users to start background tasks and continue working immediately without blocking.