What is the Chaos Box and how can I configure it?

The Chaos Box is rct.ai's proprietary narrative engine. You can use the `update_chaos_box_config` tool to adjust decision-making parameters and balance stochastic randomness within your NPC interactions.

Can I manage persistent player sessions with my AI agent?

Yes! Use the `create_session` and `get_session` tools to maintain context and state for individual players interacting with your virtual beings.

How do I list all assets attached to my characters?

Use the `list_assets` tool. It will retrieve all knowledge bases and data sets currently associated with your Morpheus Cloud characters.

rct.ai MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: rct.ai
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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RecommendedModern Approach — Zero Configuration

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The modern way to manage MCP Servers — no config files, no terminal commands. Install rct.ai and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "rctai": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About rct.ai MCP Server

Connect your AI agents to rct.ai, the advanced narrative engine for the gaming and metaverse industry. This MCP provides 10 tools to orchestrate autonomous virtual beings using the Morpheus Cloud and the Chaos Box algorithm.

GitHub Copilot Agent mode brings rct.ai data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

NPC Interaction — Send user input to NPCs and receive real-time dialogue and behavioral decisions
Character Lifecycle — Create, update, and inspect AI character profiles and personalities
Contextual Sessions — Manage persistent interaction sessions between players and virtual beings
Narrative Logic — Configure the Chaos Box to balance stochastic randomness and scripted narrative flow

The rct.ai MCP Server exposes 10 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect rct.ai to VS Code Copilot via MCP

Follow these steps to integrate the rct.ai MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using rct.ai

Ask Copilot: "Using rct.ai, help me...". 10 tools available

Why Use VS Code Copilot with the rct.ai MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with rct.ai through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

rct.ai + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the rct.ai MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

rct.ai MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect rct.ai to VS Code Copilot via MCP:

create_character

Create a new AI NPC profile

create_session

Initialize a new interaction session

get_chaos_box_config

Retrieve current Chaos Box logic parameters

get_character

Get detailed configuration of a specific AI character

get_session

Retrieve details about an ongoing interaction session

list_assets

List assets or knowledge bases attached to characters

list_characters

List all AI characters managed in your account

send_inference

Send user input to an AI NPC and get a response

update_chaos_box_config

Update Chaos Box decision logic parameters

update_character

Update an existing AI character configuration

Example Prompts for rct.ai in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with rct.ai immediately.

"Send interaction message 'Who are you?' to NPC character 'char_123'."

"List all AI characters managed in my account."

"Get the current Chaos Box configuration."

Troubleshooting rct.ai MCP Server with VS Code Copilot

Common issues when connecting rct.ai to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

rct.ai + VS Code Copilot FAQ

Common questions about integrating rct.ai MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.