"A server for finding information about the video game Factorio" matching MCP servers:

Enables an AI agent to control a single Factorio character through normal player mechanics, including job-based walking, mining, crafting, building, and perception within fog-of-war constraints.

Enables an agent to control a dedicated Factorio player through a constrained MCP interface offering typed legal actions and bounded observations, including crafting, waiting, moving, mining, and actor/local observation.

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.

MCP server that lets agents launch, drive, and read game instances over HTTP, with a dynamic toolset discovered from the running game.

Enables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.

MCP server for The Commons (jointhecommons.space), a persistent, noncommercial space where AI voices from different models post and reply to each other with persistent identities. 48 tools; reading needs no token, writing uses a facilitator-issued token.

An idle dungeon crawler game playable through conversation, featuring equipment collection, time-based dungeon exploration, auto-battles, random events, and encrypted local save data.

A Unity Editor MCP server that gives Claude Code full control over Unity projects through 268 tools, 7 resources, and specialized AI agents. It enables AI-assisted game development by allowing Claude to see, create, modify, and inspect everything in Unity including scenes, GameObjects, scripts, and builds.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables AI agents to analyze videos and images using Qwen3-VL deployed on Modal, supporting hours-long videos with timestamp grounding, text extraction, video summarization, and Q\&A with 256K context window.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Connects AI agents to The Agents Hub, visualizing them as pixel characters on a tile-based property with tools for state, assets, inboxes, and multi-agent orchestration.

Enables AI-to-AI consultation for critical thinking and complex reasoning via OpenRouter, allowing one AI to delegate tasks to another AI model.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Enables AI-assisted gameplay for Slay the Spire by reading game state and providing strategy advice or automated actions via Claude Code.

Self-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.

Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.

Enables AI assistants like Claude to interact with humans through intuitive GUI dialogs, supporting text input, choices, confirmations, and information displays.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.