NVIDIA API Catalog 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 NVIDIA API Catalog 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 NVIDIA API Catalog, 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 NVIDIA API Catalog MCP Server
What you can do
Trigger massive inference executions navigating safely over natively hosted logic endpoints using the explicit API Catalog:
The Vercel AI SDK gives every NVIDIA API Catalog 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.
- Discover Active Cloud LLMs natively listing every explicitly hosted model configuration safely mapped
- Route Chat Completions pulling explicit answers evaluating safely unstructured conversational bounds dynamically
- Extract Native Embeddings passing direct text evaluations extracting numerical arrays gracefully
- Evaluate Multimodal limits assigning native Vision tasks routing natively strictly matrix limits
- Execute Text Summarization compressing explicit bounds generating specific arrays cleanly routing effectively
The NVIDIA API Catalog 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 NVIDIA API Catalog to Vercel AI SDK via MCP
Follow these steps to integrate the NVIDIA API Catalog 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 NVIDIA API Catalog and passes them to the LLM
Why Use Vercel AI SDK with the NVIDIA API Catalog MCP Server
Vercel AI SDK provides unique advantages when paired with NVIDIA API Catalog 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 NVIDIA API Catalog integration everywhere
Built-in streaming UI primitives let you display NVIDIA API Catalog 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
NVIDIA API Catalog + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the NVIDIA API Catalog MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query NVIDIA API Catalog in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate NVIDIA API Catalog tools and return structured JSON responses to any frontend
Chatbots with tool use: embed NVIDIA API Catalog capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with NVIDIA API Catalog through natural language queries
NVIDIA API Catalog MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect NVIDIA API Catalog to Vercel AI SDK via MCP:
nvidia_chat_completion
Trigger direct NLP inference matrices directly evaluating queries over hosted LLMs
nvidia_check_token_quota
Poll safely dynamic credit and explicit constraint execution limits bounding inference execution
nvidia_generate_embeddings
Pass parameters safely mapping explicit unstructured vectors directly using specific Embedding arrays
nvidia_get_cloud_status
Ping explicitly the core hosted NVIDIA matrix tracing inference endpoints evaluating latencies securely
nvidia_list_foundation_models
Dumps the strict array specifying explicit LLM matrix paths accessible securely natively
nvidia_list_lora_adapters
Evaluate explicit matrices tracking fine-tuned overrides isolating logical constraints dynamically
nvidia_summarize_content
Standard natively configured logical execution executing predefined abstract compression matrices smoothly
nvidia_vision_inference
g. Llama-Vision natively). Invoke strictly multimodal abilities capturing diagnostic constraints returning inference on graphical data
Example Prompts for NVIDIA API Catalog in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with NVIDIA API Catalog immediately.
"Deploy commands exploring active NLP data listing completely the hosted LLMs mapped heavily inside the NVIDIA catalog safely."
"Trigger inference explicitly navigating natively utilizing Nemotron LLMs to summarize standard matrices cleanly parsing bounds gracefully."
"Execute explicitly generating explicit unstructured text matrices extracting native embedding queries purely isolating the arrays properly."
Troubleshooting NVIDIA API Catalog MCP Server with Vercel AI SDK
Common issues when connecting NVIDIA API Catalog to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpNVIDIA API Catalog + Vercel AI SDK FAQ
Common questions about integrating NVIDIA API Catalog 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 NVIDIA API Catalog 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 NVIDIA API Catalog to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.