rct.ai MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect rct.ai through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using rct.ai, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every rct.ai tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the rct.ai MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from rct.ai and passes them to the LLM
Why Use Vercel AI SDK with the rct.ai MCP Server
Vercel AI SDK provides unique advantages when paired with rct.ai through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same rct.ai integration everywhere
Built-in streaming UI primitives let you display rct.ai tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
rct.ai + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the rct.ai MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query rct.ai in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate rct.ai tools and return structured JSON responses to any frontend
Chatbots with tool use: embed rct.ai capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with rct.ai through natural language queries
rct.ai MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect rct.ai to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting rct.ai to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcprct.ai + Vercel AI SDK FAQ
Common questions about integrating rct.ai MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.