Modal (Serverless AI Infrastructure) MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Modal (Serverless AI Infrastructure) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Modal (Serverless AI Infrastructure), 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 Modal (Serverless AI Infrastructure) MCP Server
Connect your Modal account to any AI agent and take full control of your high-performance AI infrastructure, serverless GPU deployments, and persistent storage through natural conversation.
The Vercel AI SDK gives every Modal (Serverless AI Infrastructure) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- App Orchestration — List isolated active and historical Modal app contexts to track function execution states and resource allocation directly from your agent
- Deployment Management — Enumerate promoted long-running deployments and retrieve detailed web endpoints and serving configurations securely
- Operational Control — Force stop actively running Modal app executions gracefully via App ID to prevent unnecessary billing cycles and manage system resources natively
- Security & Secret Audit — List stored secret dictionary references and verify environment variable mappings attached to your serverless functions securely
- Storage Visibility — Monitor persisted disk network block volumes and data mount directories used across your distributed compute instances
- Infrastructure Inspection — Deep-dive into specific App or Deployment IDs to retrieve precise JSON metadata representing your infrastructure's current state vectors
The Modal (Serverless AI Infrastructure) MCP Server exposes 7 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 Modal (Serverless AI Infrastructure) to Vercel AI SDK via MCP
Follow these steps to integrate the Modal (Serverless AI Infrastructure) 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 7 tools from Modal (Serverless AI Infrastructure) and passes them to the LLM
Why Use Vercel AI SDK with the Modal (Serverless AI Infrastructure) MCP Server
Vercel AI SDK provides unique advantages when paired with Modal (Serverless AI Infrastructure) 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 Modal (Serverless AI Infrastructure) integration everywhere
Built-in streaming UI primitives let you display Modal (Serverless AI Infrastructure) 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
Modal (Serverless AI Infrastructure) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Modal (Serverless AI Infrastructure) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Modal (Serverless AI Infrastructure) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Modal (Serverless AI Infrastructure) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Modal (Serverless AI Infrastructure) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Modal (Serverless AI Infrastructure) through natural language queries
Modal (Serverless AI Infrastructure) MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Modal (Serverless AI Infrastructure) to Vercel AI SDK via MCP:
get_app
Get static specifics of an exact Modal App ID
get_deployment
Get an explicitly tracked deployment detail mapped bound
list_apps
List isolated active/historical Modal Apps contexts
list_deployments
List strictly managed Modal platform explicitly promoted deployments
list_secrets
List static secret dictionary configuration references
list_volumes
List Modal persisted disk network block volumes
stop_app
Force stop an actively running explicit Modal App execution
Example Prompts for Modal (Serverless AI Infrastructure) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Modal (Serverless AI Infrastructure) immediately.
"List all active Modal apps running in my account"
"Force stop Modal app ID 'ap-123'"
"Show me all persistent volumes configured in my workspace"
Troubleshooting Modal (Serverless AI Infrastructure) MCP Server with Vercel AI SDK
Common issues when connecting Modal (Serverless AI Infrastructure) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpModal (Serverless AI Infrastructure) + Vercel AI SDK FAQ
Common questions about integrating Modal (Serverless AI Infrastructure) 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 Modal (Serverless AI Infrastructure) 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 Modal (Serverless AI Infrastructure) to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.