Cincopa MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cincopa 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 Cincopa, 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 Cincopa MCP Server
Connect your Cincopa account to any AI agent and take full control of your video and media management through natural conversation. Streamline how you host and distribute content.
The Vercel AI SDK gives every Cincopa tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Gallery Oversight — List and retrieve details for all media galleries and folders natively
- Asset Intelligence — Access detailed metadata for videos, images, and audio files flawlessly
- Upload Automation — Retrieve temporary upload URLs to push new content to your platform securely
- Template Management — List available gallery templates to ensure consistent branding flawlessly
- Content Control — Create new galleries and delete unwanted assets directly from your chat interface flawlessly
- Engagement Monitoring — Monitor media performance and usage metadata directly within your workspace
The Cincopa MCP Server exposes 8 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 Cincopa to Vercel AI SDK via MCP
Follow these steps to integrate the Cincopa 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 8 tools from Cincopa and passes them to the LLM
Why Use Vercel AI SDK with the Cincopa MCP Server
Vercel AI SDK provides unique advantages when paired with Cincopa 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 Cincopa integration everywhere
Built-in streaming UI primitives let you display Cincopa 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
Cincopa + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Cincopa MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Cincopa in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Cincopa tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Cincopa capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Cincopa through natural language queries
Cincopa MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Cincopa to Vercel AI SDK via MCP:
create_new_gallery
Create a new media gallery using a template
delete_media_asset
Permanently delete a media asset from the account
get_asset_metadata
Get detailed metadata for a specific media asset
get_gallery_details
Get detailed information for a specific gallery
get_media_upload_url
Retrieve a temporary URL for uploading new media files
list_cincopa_assets
List all media assets (videos, images, audio)
list_cincopa_galleries
List all media galleries in the account
list_cincopa_templates
List available gallery templates
Example Prompts for Cincopa in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cincopa immediately.
"List all my video galleries in Cincopa."
"Show me the metadata for asset RID 'AAAAtAURG'."
"Create a new gallery called 'Customer Interviews' using the 'Video Portal' template."
Troubleshooting Cincopa MCP Server with Vercel AI SDK
Common issues when connecting Cincopa to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCincopa + Vercel AI SDK FAQ
Common questions about integrating Cincopa 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 Cincopa 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 Cincopa to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.