Infinity MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Api Health, Create Board Item, Get Current User Profile, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Infinity 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 for Vercel AI SDK
The Infinity MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Infinity, 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 Infinity MCP Server
Connect your Infinity account to any AI agent and manage projects through natural conversation.
The Vercel AI SDK gives every Infinity tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Workspace Management — List all workspaces in your organization
- Board Navigation — Browse boards within workspaces and inspect their structure
- Folder Organization — Navigate folder hierarchies within boards
- Attribute Schema — View all custom attributes and fields configured on boards
- Item Management — List, create, update, and delete items (tasks/records) within boards
- Data Access — Read item field values and metadata
The Infinity MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Infinity tools available for Vercel AI SDK
When Vercel AI SDK connects to Infinity through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-management, workspace-organization, custom-attributes, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Check api health on Infinity
Verify Infinity API connectivity
Create board item on Infinity
Values must map to attribute IDs. Add a new item to a board
Get current user profile on Infinity
Get authenticated user info
List board attributes on Infinity
List board attributes (fields)
List board folders on Infinity
List folders in a board
List board items on Infinity
Supports filtering by folder. List all tasks/items in a board
List board webhooks on Infinity
List active webhooks for a board
List item comments on Infinity
List comments on an item
List workspace boards on Infinity
List boards in a workspace
List workspaces on Infinity
List all workspaces
Remove board item on Infinity
Delete an item from a board
Update board item on Infinity
Modify an existing item
Connect Infinity to Vercel AI SDK via MCP
Follow these steps to wire Infinity into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Infinity MCP Server
Vercel AI SDK provides unique advantages when paired with Infinity 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 Infinity integration everywhere
Built-in streaming UI primitives let you display Infinity 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
Infinity + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Infinity MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Infinity in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Infinity tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Infinity capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Infinity through natural language queries
Example Prompts for Infinity in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Infinity immediately.
"Show all workspaces and the boards in the 'Product Development' workspace."
"Create a new task in the Sprint Board and list all items with 'In Progress' status."
"Show the attributes on the Bug Tracker board and the folder structure."
Troubleshooting Infinity MCP Server with Vercel AI SDK
Common issues when connecting Infinity to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpInfinity + Vercel AI SDK FAQ
Common questions about integrating Infinity 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.Explore More MCP Servers
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