Fluxiom MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Fluxiom 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 Fluxiom, 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 Fluxiom MCP Server
Connect your Fluxiom account to any AI agent to automate your Digital Asset Management (DAM) and sharing workflows. Fluxiom provides a streamlined platform for storing, organizing, and distributing your brand's files. This MCP server enables you to manage your asset library, apply organizational tags, and oversee your sharing portals (Stages) directly through natural conversation.
The Vercel AI SDK gives every Fluxiom tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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 digital assets, fetch detailed metadata, and update or delete files instantly.
- Dynamic Tagging — Create and apply organizational tags to categorize your library programmatically.
- Branded Portals — Access and list your sharing portals or 'Stages' to monitor how your files are being distributed.
- Version Control — Retrieve the complete version history for any asset to track updates and changes.
- Search & Filter — Efficiently locate specific files using full-text search and tag-based filtering.
- Account Oversight — Fetch detailed account attributes and metadata to maintain full context of your DAM environment.
The Fluxiom MCP Server exposes 9 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 Fluxiom to Vercel AI SDK via MCP
Follow these steps to integrate the Fluxiom 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 9 tools from Fluxiom and passes them to the LLM
Why Use Vercel AI SDK with the Fluxiom MCP Server
Vercel AI SDK provides unique advantages when paired with Fluxiom 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 Fluxiom integration everywhere
Built-in streaming UI primitives let you display Fluxiom 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
Fluxiom + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Fluxiom MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Fluxiom in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Fluxiom tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Fluxiom capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Fluxiom through natural language queries
Fluxiom MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Fluxiom to Vercel AI SDK via MCP:
create_tag
Create a new tag
delete_asset
Remove an asset
get_account_details
Get account attributes
get_asset
Get asset details
get_asset_versions
Get asset version history
list_assets
List digital assets
list_stages
List branded portals (Stages)
list_tags
List organizational tags
update_asset
Update asset metadata
Example Prompts for Fluxiom in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Fluxiom immediately.
"List all digital assets tagged with 'Marketing'."
"Show me the version history for asset ID '12345'."
"Add the tag 'Archive' to the asset 'Logo_Final.png'."
Troubleshooting Fluxiom MCP Server with Vercel AI SDK
Common issues when connecting Fluxiom to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFluxiom + Vercel AI SDK FAQ
Common questions about integrating Fluxiom 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 Fluxiom 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 Fluxiom to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.