"Aviator casino game information" matching MCP servers:

AutoMem MCP provides persistent memory for AI assistants, enabling them to recall information across conversations and platforms with graph-vector retrieval.

Gives an AI game master a persistent memory for tabletop roleplaying games by storing worlds, characters, plots, and scenes. It enables saving, searching, and loading game state (via MCP tools) so the GM doesn't have to recall plot and details only from the context window.

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.

Provides AI agents with tools to manage and enforce consistent pixel-art style for 2D RPG games, including style definitions, asset registry, art memory, QA checks, provider execution, and versioning.

RPG game engine that lets AI run tabletop sessions without hallucinating mechanics. SQLite-backed persistence, D\&D 5e-style combat, procedural world generation, and deterministic dice.

Enables seamless integration between Claude and Dry smartspaces, turning conversations into persistent, structured data by creating memories and querying information.

MCP server for querying the DodaOne governance framework, enabling users to retrieve governance information and evaluate proposed actions.

A persistent memory layer for AI tools that decouples personal data from AI's unstable memory, enabling you to mention information once and have it remembered forever across all conversations.

Provides a shared project knowledge and handoff layer for coding agents, offering tools to list, search, retrieve, and update stages of project information to maintain continuity across long-running projects

Enables AI agents to read, search, write, and link notes in an Obsidian vault via MCP tools and resources.

An MCP server that gives AI assistants the ability to remember user information (preferences, behaviors) across conversations using vector search technology.

Provides access to personal/team knowledge repositories with tools to search, retrieve, and save information from various sources including Slack, Gmail, and document storage platforms.

A single-player cinematic geopolitical roleplay MCP server where an LLM game-master handles decision-making with persistent world state and rules enforcement.

Provides a single-user, append-only, queryable memory store for dated facts with provenance, enabling Claude to persist and correct personal information across conversations via an MCP interface.

Enables storing and retrieving information using semantic search with Qdrant vector database. Acts as a memory layer for LLMs to persistently store and semantically search through information and metadata.

Enables comprehensive chess analysis through Stockfish engine integration, positional evaluation, puzzle training, game review, and access to extensive chess databases. Provides visual board rendering, interactive game viewers, and tactical puzzle training with 3+ million problems from Lichess.

An MCP server that enforces context validity declarations, ensuring agents refuse stale context with a disclosure naming the accountable steward instead of answering confidently with outdated information.

A local memory server for AI agents that stores and retrieves information via MCP, keeping all data in SQLite on your machine.

Enables MCP clients like Cursor and Claude to remember user preferences and information across conversations using vector search.

Enables MCP clients to store and retrieve user preferences, behaviors, and other text-based information across conversations using semantic vector search.