"A tool for modifying game memory and values" matching MCP servers:

MCP server that enables persistent, hybrid, local memory for LLM agents, with vector + BM25 search, knowledge graph, and policy-driven retention, providing token-budgeted context injection for AI assistants.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Enables Antigravity to act as an automated Cheat Engine/memory editor for singleplayer Windows games, providing process attachment, memory scanning/reading/writing, freezing, pointer and AOB resolution, Lua scripting, Cheat Table support, and stealth-oriented operations such as low-footprint syscalls and DLL injection.

Lets Claude join a real match of the shooting game as the second player and play it through a live browser, reading the arena and sending actual keyboard inputs to move and shoot.

Enables AI agents to maintain persistent, searchable two-layer memory with 37 tools, hybrid search, knowledge graphs, and enterprise features like authentication and backups.

Enables scanning game or mod directories for translatable text files, invoking OpenAI-compatible AI translation services, and writing Chinese translations to an isolated output directory without modifying original files.

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.

Enables an MCP client to guide users through 12 stages of game creation, from concept to launch, by managing decisions, recommending skills, and generating playable HTML5 prototypes, GDDs, and backlogs.

Bridges AI assistants to running game instances for testing, debugging, and verification. Works with any game engine via a simple TCP protocol.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

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.

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

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

Enables AI agents to generate game-ready 3D assets from reference images with PBR textures, and to retexture meshes the user already owns, while recording full provenance for every generated file.

MCP server for playing the Imposter Game (Spyfall alternative) with AI as host. Provides tools to get categories and generate game words with secret roles.

Enables AI agents to generate dynamic game background music by analyzing game scenes with DeepSeek and generating royalty-free tracks via Soundraw, including integration code for Unity and Unreal Engine.

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

Enables AI agents to generate and package SCORM 1.2 compliant interactive learning activities (matching and quiz) with a 16:9 responsive player shell, including scoring, timers, lives, and synthesized audio.

License-aware game development resource discovery MCP server. Helps AI coding agents find reusable game assets with commercial-use filtering, license classification, and attribution generation.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.