"Managing game servers using Pelican panel" matching MCP servers:

Multi-agent game development framework for Claude Code that lets you build games with an AI team including Lead, Engineer, Designer, Artist, QA, and Story Consultant.

Panel Review is the guardian agent for AI's highest-stakes coding decisions. Before an agent's riskiest designs, diffs, or commits ship, four frontier models, from OpenAI, Anthropic, Google, and xAI, argue them through and return severity-tagged findings, with review gates the agent cannot silently skip.

Enables MCP hosts to spawn, supervise, and collect results from parallel panels of pinned-model OpenCode v2 agents for delegated tasks, reviews, and cross-model comparisons. Supports per-member roles, models, permissions, follow-up prompts, cancellation, and persisted result retrieval.

Turn the AI you already use into a game studio. Describe a game and Claude or Cursor builds it as a real 3D browser game: playable immediately, hosted on its own link, shareable with anyone. No engine, no build step, no code knowledge, nothing to export. Your AI ships the whole thing: it pulls free 3D assets, rigs characters, and playtests its own build until the game works. Free to start.

Enables coding agents to review GitHub pull requests with a panel of AI models through local or remote MCP endpoints.

Enables Claude Code to delegate coding work to a team of Google Antigravity specialists, dispatching tasks to particular roles, listing available agents, checking or cancelling task status, and validating delivered work against acceptance criteria and verification commands. It keeps the leader model in control by returning short results with token usage, git change summaries and output tails instead of the full work.

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

A TypeScript MCP server that lets AI assistants interact with the Godot 4.x game engine: not just editing files, but playing the game.

An MCP (Model Context Protocol) server that enables integration with the Simplifier Low Code Platform. This server provides tools and capabilities for creating and managing Simplifier Connectors and BusinessObjects through the platform's REST API.

Enables interaction with Google Jules API to automate software development tasks, such as managing sources, sessions, and activities for AI-powered coding assistance.

An MCP server that lets AI coding agents work on Godot 4 projects, including reading and editing scenes, writing and validating GDScript, running the game, and capturing screenshots.

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

Advanced MCP server for Godot 4.6+ with 63 professional tools, enabling AI-assisted game development with backup/rollback, deep script validation, and project health diagnostics.

A Model Context Protocol server that connects to a WISP game panel, letting AI clients inspect and manage game servers (state, files, console, backups, databases) with read-only defaults and opt-in capabilities.

A zero-cost MCP server that forces AI to self-correct code using prompt injection and context isolation.

Connects coding agents to Roblox Studio for inspecting, generating, and editing game maps via MCP.

Enables agents to explore a static RTTI, call, and cross-reference graph of a game executable, querying functions, classes, vtables, strings, globals and memory through search, disassembly, signature and SQL tools. It also supports a provenance-tracked naming lifecycle where labels are proposed with evidence, reviewed, and ported across game patches.

Enables AI agents to autonomously develop and test Godot 4 games through an MCP-based feedback loop, providing tools for authoring, running, observing, playtesting, and verifying game projects.

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

Enables unified access to multiple coding-agent CLIs via MCP, with tools for running prompts, managing sessions, and retrieving task outputs.

A server component of the Model Context Protocol that provides intelligent analysis of codebases using vector search and machine learning to understand code patterns, architectural decisions, and documentation.

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.

Connects AI coding assistants to the Jules API for autonomous coding sessions. Enables creating and managing coding sessions, GitHub integration, plan approval workflows, and real-time activity tracking directly from your IDE.

Lets Codex delegate coding and review tasks to Gemini/Antigravity, Claude Code, and DeepSeek Harness through their native SDKs, while managing connections, isolated Git worktrees, and live task progress from a local panel.

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.

Connects ChatGPT to Roblox Studio's built-in MCP, enabling natural-language reading and writing of game data, including executing Luau code and modifying scripts and instances.

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

Enables Codex to orchestrate multi-agent coding by routing tasks to local Claude Code workers via CCSwitch, managing cost and model selection for planning, execution, and review.

An MCP server implementing the TRUE Recursive Language Model technique for managing large context windows in Claude Code, enabling analysis of codebases beyond 200k tokens by storing content as variables and using LLM-generated code for search and analysis.