How to Use the Karbon MCP in Vercel AI SDK

Q: How do I connect the Karbon MCP Server to the Vercel AI SDK?

Install the @ai-sdk/mcp package. Call createMCPClient with your HTTP transport URL. Pass the resulting tools into generateText or streamText.

Q: Can the Vercel AI SDK stream Karbon work item updates?

Yes. When the agent uses updateworkitem, the tool execution result streams back to the client. Your React component updates the task status immediately.

Q: Does the Karbon server support creating new contacts via Vercel AI SDK?

It does. The createcontact endpoint accepts a name and contact type. The agent handles the payload formatting automatically.

Q: How do I filter between people and organizations?

Just tell the agent to use listpeople or listorganizations. It pulls the exact record type you need directly from the API.

Build dynamic React interfaces that stream Karbon accounting data directly to your users with the Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Karbon MCP to Vercel AI SDK

Create your Vinkius account to connect Karbon to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Karbon with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream Karbon Contacts to Vercel AI SDK

The `list_contacts` and `get_contact` tools pull client details straight into your Next.js frontend. Your users see firm relationships appear instantly as the Vercel AI SDK streams the data chunks. You skip the loading states entirely. When a user needs to separate individuals from companies, they hit `list_people` or `list_organizations`. The agent fetches the exact subset. You get raw JSON back to map straight into your React components without writing custom filter logic.

Render Live Accounting Workflows

The `list_work_items` tool grabs active engagements across the firm. Pass this through the connection, and your UI populates with ongoing tax returns or audits as the LLM generates the response. It feels incredibly fast because the data arrives in pieces. Digging into a specific job requires `get_work_item` followed by `list_work_tasks`. The agent reads the task list. Your frontend renders the completion status of every individual step without waiting for a massive payload to finish downloading.

Mutate Data Without Spinners

The `create_work_item` tool pushes new projects into Karbon from your custom interface. You pass a title and a work type. The backend handles the mutation while your UI stays responsive. Updating statuses happens via `update_work_item`. If an associate finishes a review, the agent fires the update command. You pair this with `create_contact` to let users onboard new clients right from your custom chat window.

Setup guide

Set up Karbon MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Karbon tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Karbon transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Karbon. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Karbon now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Karbon MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package. Call `createMCPClient` with your HTTP transport URL. Pass the resulting tools into `generateText` or `streamText`.

Yes. When the agent uses `update_work_item`, the tool execution result streams back to the client. Your React component updates the task status immediately.

It does. The `create_contact` endpoint accepts a name and contact type. The agent handles the payload formatting automatically.

Just tell the agent to use `list_people` or `list_organizations`. It pulls the exact record type you need directly from the API.

This MCP Server processes names, organizational structures, and workflow notes. The V8 Isolate Sandbox destroys the environment the millisecond the request finishes. Nothing persists in memory.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript