rct.ai MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add rct.ai as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="rctai_agent",
instruction=(
"You help users interact with rct.ai "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports rct.ai as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the rct.ai MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from rct.ai via MCP
Why Use Google ADK with the rct.ai MCP Server
Google ADK provides unique advantages when paired with rct.ai through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with rct.ai
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine rct.ai tools with BigQuery, Vertex AI, and Cloud Functions
rct.ai + Google ADK Use Cases
Practical scenarios where Google ADK combined with the rct.ai MCP Server delivers measurable value.
Enterprise data agents: ADK agents query rct.ai and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine rct.ai tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query rct.ai regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including rct.ai
rct.ai MCP Tools for Google ADK (10)
These 10 tools become available when you connect rct.ai to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting rct.ai to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkrct.ai + Google ADK FAQ
Common questions about integrating rct.ai MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect rct.ai to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.