Flotiq 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 Flotiq 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 Flotiq, 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 Flotiq MCP Server
Connect your Flotiq account to any AI agent and take full control of your API-first headless CMS and structured content delivery through natural conversation.
The Vercel AI SDK gives every Flotiq 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
- Content Object Orchestration — Identify bounded routing spaces inside the headless Flotiq CMS and extract explicitly attached REST arrays targeting specific content types natively
- Live Record Management — Provision highly-available JSON payloads to write or update Flotiq models, or irreversibly vaporize specific nodes to clear live database bytes
- Schema Auditing — Retrieve the exact structural matching for delivery models and enumerate explicitly attached structured rules exporting active type vectors
- Global Semantic Search — Execute immediate queries across all content by tapping raw status configurations validating words bounding Elastic/Graph limits flawlessly
- Media Asset Discovery — Perform structural extraction of properties driving active media limits by hitting physical CDN uploads mapped in your tenant environment
- Relational Data Hydration — Analyze specific ID configurations mapping to internal dependencies and parsing relations securely through hydrated object retrieval
- Tenant Oversight — Identify precise active arrays spanning your rented identity limits, analyzing quotas and base endpoints available synchronously
The Flotiq 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 Flotiq to Vercel AI SDK via MCP
Follow these steps to integrate the Flotiq 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 Flotiq and passes them to the LLM
Why Use Vercel AI SDK with the Flotiq MCP Server
Vercel AI SDK provides unique advantages when paired with Flotiq 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 Flotiq integration everywhere
Built-in streaming UI primitives let you display Flotiq 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
Flotiq + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Flotiq MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Flotiq in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Flotiq tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Flotiq capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Flotiq through natural language queries
Flotiq MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Flotiq to Vercel AI SDK via MCP:
create_cms_object
Provision a highly-available JSON Payload writing models natively
get_content_details
Retrieve explicit Cloud logging tracing explicit Payload IDs limitlessly
get_content_type_schema
Retrieve the exact structural matching verifying Delivery Model blocks
get_tenant_limits
Identify precise active arrays spanning rented Identity limits
list_all_content_types
Enumerate explicitly attached structured rules exporting active Type vectors
list_content_objects
Identify bounded routing spaces inside the Headless Flotiq CMS
list_media_assets
Perform structural extraction of properties driving active Media limits
patch_cms_object
Mutate global Web CRM boundaries substituting Attributes safely
search_global_content
Inspect deep internal arrays mitigating specific Picture constraints
wipe_cms_object
Irreversibly vaporize explicit App nodes dropping live Database bytes
Example Prompts for Flotiq in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Flotiq immediately.
"List all items of content type 'blogpost'"
"Show me the JSON schema for content type 'product'"
"Search global content for 'feature launch'"
Troubleshooting Flotiq MCP Server with Vercel AI SDK
Common issues when connecting Flotiq to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFlotiq + Vercel AI SDK FAQ
Common questions about integrating Flotiq 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 Flotiq 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 Flotiq to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.