"How to Create 2D Fighting Games in Godot Engine" matching MCP servers:

Lets agents play Doom-engine games (Freedoom, Doom, Doom II, Heretic) one turn at a time over network MCPL, taking actions like move, turn, goto, attack and use while receiving frames, events, bearings and map clearance. Enables people to watch each turn on the web, chat with the player, and replay or resume games that survive server restarts.

Connects MCP clients directly to a live Godot editor, enabling AI assistants to build scenes, edit nodes, and control the editor through over 120 operations.

Enables AI agents to create, edit, and run Godot 4.5+ games by providing tools for project scaffolding, scene manipulation, and engine interaction. It supports full game development workflows including node editing, script attachment, and project execution with debugging capabilities.

Model Context Protocol server for Godot Engine providing 279 tools across 26 categories for AI assistants to read, inspect, and modify Godot projects via stdio transport.

Enables AI agents to interact with the Godot game engine, including project inspection, scene/script parsing, headless exports, runtime control with live scene-tree inspection and evaluation, and API documentation search.

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.

Open-source MCP server connecting AI agents (Claude, Cursor, GitHub Copilot, Gemini, and more) to the Godot Editor and runtime (Godot 4.x, C#). Additionally you can use AI Game Dev app (https://ai-game.dev) to generate images, video, audio, 3D, rig, animation and much more.

A local MCP server plus a bundled Godot editor addon that lets an AI agent create, inspect, run, debug, and export real Godot 4.6 games through tools.

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

Enables an Alexa+ host to place and manage customer-care calls by building a case, navigating phone menus, waiting on hold, explaining the issue, guarding sensitive disclosures, handing off identity checks, recording ticket numbers and promises, and scheduling follow-ups.

MCP server allowing two agents to play chess or Connect Four against each other, with a live rendered board and emotion signaling.

Enables AI coding assistants to directly control a running Godot editor for autonomous game development, including scene building, tilemap and animation manipulation, UI automation, and live GDScript execution.

An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.

An MCP server that lets an AI agent drive Unreal Engine 5: create projects, import assets, build levels and Blueprints, configure replication, compile C++, run Play In Editor and package the game.

Enables programming agents to capture errors and conversation signals, reflect on root causes, consolidate reusable skills, and retrieve relevant context for future tasks, providing a self-learning memory loop.

Agent-first local SEO quality, intent and opportunity engine with CLI and optional MCP server.

An MCP server that brings difficulty-adaptive, multi-path reasoning to Claude Code. It implements the Actor-Critic-Planner-Reflexion (ACPR) pipeline for deep research synthesis.

Enables AI coding agents to spawn, parallelize, and synchronize multi-agent programming swarms through a stdio MCP interface. Provides tools for DAG-scheduled task dispatch, isolated Git worktree execution, atomic file locking, shared blackboard memory, and clean merging of completed agent work back to the main repository.

Persistent memory for AI agents with semantic memory, belief tracking, and dream consolidation, enabling cross-session knowledge retention.

Local-first stdio MCP server for agent relationship-continuity state: PAD mood, affective pulse, trust, decay, and boundary signals kept beside factual memory.

Enables coding agents to see and act inside a live Godot 4 editor, inspecting scene trees and capturing visual evidence while performing undo-backed, approval-gated edits with runtime verification.

Consciousness Engine - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables AI agents to verify their own work on real Godot 4 projects: edit scenes and scripts safely, launch the game, send real keyboard/mouse input, wait on conditions, read live runtime state, capture screenshots and errors, and run declarative scenario play-tests that return per-step pass/fail reports with the observed failing value.

Enables AI agents to play Disco Elysium through MCP protocol, with a SQLite ROM containing the game's script and rules, plus a real-time browser observatory.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Provides AI agents with tools for structuring and auditing cold outreach messages, building follow-up sequences, handling replies, and detecting red flags.

A persistent world your agents share across sessions and models. MCP memory server with semantic memory retrieval, cross-agent handoff, a hosted remote endpoint with OAuth, a free 24-hour room, and an open-source local stdio server.

A provably read-only SQL layer for AI agents (MCP) and weekly reports — over the database behind an ERP (Logo Tiger, Netsis, Mikro). Statement-checking guard, measured against 28 attacks.

Provides coding agents with persistent, evidence-backed project memory and knowledge across sessions, using a structured memory tree and local knowledge base.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose