MediaSilo 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 MediaSilo 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 MediaSilo, 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 MediaSilo MCP Server
Connect your MediaSilo (Shift) account to any AI agent and take full control of your media asset management and collaboration through natural conversation.
The Vercel AI SDK gives every MediaSilo 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
- Asset Management — List all media assets, search by term, and fetch detailed metadata for videos and images
- Project Organization — Enumerate active projects, list folders, and inspect specific project configurations
- Collaboration — Manage Quicklinks for secure media sharing and review with your team and clients
- User Inventory — List authorized users and manage access within your MediaSilo workspace
The MediaSilo 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 MediaSilo to Vercel AI SDK via MCP
Follow these steps to integrate the MediaSilo 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 MediaSilo and passes them to the LLM
Why Use Vercel AI SDK with the MediaSilo MCP Server
Vercel AI SDK provides unique advantages when paired with MediaSilo 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 MediaSilo integration everywhere
Built-in streaming UI primitives let you display MediaSilo 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
MediaSilo + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the MediaSilo MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query MediaSilo in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate MediaSilo tools and return structured JSON responses to any frontend
Chatbots with tool use: embed MediaSilo capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with MediaSilo through natural language queries
MediaSilo MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect MediaSilo to Vercel AI SDK via MCP:
get_asset
Get details for a specific asset
get_project
Get details for a specific project
get_project_assets
List all assets within a project
get_quicklink
Get details for a specific Quicklink
list_assets
) from MediaSilo. List all media assets
list_folders
List folders within a project
list_projects
List all projects
list_quicklinks
List all Quicklinks
list_users
List all users
search_assets
Search for assets by term
Example Prompts for MediaSilo in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with MediaSilo immediately.
"List the most recent assets in MediaSilo."
"Show folders for project 'Fall Campaign'."
"Search for assets matching 'logo'."
Troubleshooting MediaSilo MCP Server with Vercel AI SDK
Common issues when connecting MediaSilo to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMediaSilo + Vercel AI SDK FAQ
Common questions about integrating MediaSilo 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 MediaSilo 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 MediaSilo to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.