Simian MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Add Project Comment, Create Reel, Delete Media, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Simian through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Simian app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Simian, 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 Simian MCP Server
The Simian MCP server enables your AI agent to manage your creative workflows. Retrieve media links, orchestrate review processes, and analyze viewer engagement directly from the chat interface.
The Vercel AI SDK gives every Simian tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The Simian MCP Server exposes 12 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.
All 12 Simian tools available for Vercel AI SDK
When Vercel AI SDK connects to Simian through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-sharing, creative-workflow, media-review, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a new comment or approval status to a file
Create a new reel
Permanently remove a file from the library
Retrieve account details and usage statistics
Get metadata for a specific media file
Retrieve comments and annotations for a project file
Get details of a specific reel
List all media files in the library
List all active review and approval projects
List all created reels (presentations)
Send a reel to recipients via email or short link
Update metadata for a media file
Connect Simian to Vercel AI SDK via MCP
Follow these steps to wire Simian into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Simian MCP Server
Vercel AI SDK provides unique advantages when paired with Simian 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 Simian integration everywhere
Built-in streaming UI primitives let you display Simian 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
Simian + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Simian MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Simian in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Simian tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Simian capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Simian through natural language queries
Example Prompts for Simian in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Simian immediately.
"Get the review link for project 'Summer Campaign'."
"Summarize the analytics for my latest reel."
"Invite 'client@brand.com' to review project 104."
Troubleshooting Simian MCP Server with Vercel AI SDK
Common issues when connecting Simian to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSimian + Vercel AI SDK FAQ
Common questions about integrating Simian 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.