rct.ai MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect rct.ai through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="rct.ai Assistant",
instructions=(
"You help users interact with rct.ai. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from rct.ai"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from rct.ai through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries rct.ai, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the rct.ai MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from rct.ai
Why Use OpenAI Agents SDK with the rct.ai MCP Server
OpenAI Agents SDK provides unique advantages when paired with rct.ai through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
rct.ai + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the rct.ai MCP Server delivers measurable value.
Automated workflows: build agents that query rct.ai, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries rct.ai, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through rct.ai tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query rct.ai to resolve tickets, look up records, and update statuses without human intervention
rct.ai MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect rct.ai to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting rct.ai to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
rct.ai + OpenAI Agents SDK FAQ
Common questions about integrating rct.ai MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect rct.ai with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect rct.ai to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.