rct.ai MCP. Control NPC behavior and narrative state.

rct.ai gives you the engine to build and run autonomous NPCs for games or any metaverse world. You're not just running chat prompts; you're managing a character's entire life cycle—their history, their personality shifts, and how they react when things get unpredictable. This MCP hands your agent ten specific tools that handle everything from initial profile creation to simulating complex narrative decisions.

Character Setup: Building the NPC Core

You start by defining who these characters are. Using create_character, you build a brand-new AI profile, setting up all their core traits and giving them access to specific knowledge bases. Once that's done, if you need details on an existing character, running get_character pulls every piece of configuration data associated with that unique ID.

Want to tweak the lore or change their personality without starting over? Use update_character; it modifies any part of the profile—the traits, the background info, whatever—on the fly.

To keep track of everyone you've built, running list_characters gives you an index of every single character defined and managed in your account. Furthermore, if a character needs external context, running list_assets shows you all the attached knowledge bases or data assets that specific character can reference when talking to someone.

Running the Conversation: Interaction State Management

The whole point is interaction. You handle this by simulating real conversations. To start fresh, use create_session, which initializes a persistent chat session between your user and an NPC. This keeps the context clear, so the character remembers what was said minutes ago. When you need to know where things stand in that ongoing dialogue, running get_session pulls the full status and context of the current interaction.

For actual gameplay or conversation flow, you send text input to a specific NPC using send_inference; your agent receives a generated response that feels natural because it's tied directly to the character’s established personality and the session's history.

Controlling the Narrative: Logic and Randomness

The trickiest part of building NPCs is making them feel alive—meaning they can surprise you. You manage that with the Chaos Box logic. If you need to know what rules are governing how random or structured the story flow should be, use get_chaos_box_config to retrieve those current parameters. And when the narrative needs a major shift in tone—maybe it's getting too predictable, or maybe it needs more wild unpredictability—you adjust everything using update_chaos_box_config.

This tool lets you fine-tune the decision-making process that governs story flow and any unexpected events within your simulated world.

This system means your agent handles the entire lifecycle: from definition (create_character) to asset linking (list_assets), managing conversation state (get_session, send_inference), modifying character lore (update_character), and finally, controlling the underlying narrative structure itself (get_chaos_box_config). You've got everything you need for a full-scale simulation.