"Managing Kubernetes Clusters on AWS Elastic Beanstalk" matching MCP servers:

MCP server for creating, monitoring, and managing Devin AI sessions.

Enables AI agents to interact programmatically with Claude Code CLI, managing sessions, streaming outputs, and handling permission requests.

An MCP server for managing, editing, and running Stata .do files, integrating with Claude Desktop to enable natural language control of Stata analysis on macOS.

Enables ChatGPT to work directly on local projects by reading files, editing code, running tests and commands, inspecting Git state, and managing durable workflows, with optional delegation to local Codex agents for complex tasks.

Enables Codex to delegate implementation tasks to Kimi Code while managing server lifecycle and authentication automatically.

Enables multiple AI coding agents to collaborate on a project by coordinating tasks, file leases, and messages through a shared hub, preventing conflicts and enabling parallel development.

Enables coding agents to check human-stated assumptions against authoritative sources like AWS AppConfig, Sentry, and the repository, detecting when beliefs have drifted from reality. It provides tools to inspect belief history, list verifiable properties, review open drifts, and record verified understanding.

A CLI and MCP server for managing skills across ~45 code CLI agents, with 18 tools for discovering, installing, enabling, and syncing skills in mid-session.

A unified hub for centrally managing and dynamically orchestrating multiple MCP servers/APIs into separate endpoints with flexible routing strategies.

Enables ChatGPT to supervise and control local Codex runtime sessions through a secure MCP interface, managing threads, turns, approvals, events, and recovery without exposing direct file, shell, Git, SSH, or model loop access.

MCP server for managing an autonomous dev loop from chat—onboarding, connecting GitHub, and converting plain-English requests into tested, merged pull requests.

A centralized MCP hub for managing multiple coding agents across projects, enabling parallel, non-blocking dispatch and orchestration from any MCP-capable client.

Visual feedback for AI coding agents on Astro sites, providing live annotations with source file:line, CSS selector, Tailwind classes, and computed styles.

MCP server that lets multiple coding-agent sessions on the same machine discover each other and collaborate through a shared SQLite database.

A local MCP server that orchestrates multi-agent coding teams by spawning workers, delegating tasks, and managing session lifecycles through an external MCP client.

A tiny always-on server that coordinates multiple coding-agent sessions on one project (a 'show'), using a worker/director pattern with polling, leases, and SQLite state.

An MCP server that provides tools and resources for managing a coding project's todo list, allowing users to view, add, update, and delete todo items with details like priority, status, and tags.

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.

Enables managing coding agent sessions in a shared workspace, supporting session registration, handoff notes, and export summaries via Streamable HTTP.

An MCP server giving coding agents context-window-aware code search and safe, atomic multi-file edits — built to cut token usage on large codebases without sacrificing correctness.