How to Use the Fellow MCP in Vercel AI SDK

Q: What happens if I delete a note using the Vercel AI SDK?

The deletenote tool removes the entry permanently from your workspace. Since this action is final, ensure you have proper confirmation logic in your UI before triggering it.

Stream meeting notes and action items directly into your Vercel AI SDK interface for real-time visibility into team progress.

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Connect Fellow MCP to Vercel AI SDK

Create your Vinkius account to connect Fellow 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.

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Setup Fellow with Vercel AI SDK

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Real-time meeting documentation

Feed meeting data into your frontend components as it arrives. Use `list_notes` to index your workspace and `get_note` to pull specific details into your UI without waiting for background processes. Your users see the content populate instantly. This keeps the focus on the discussion rather than the infrastructure behind your application.

Action item tracking for AI SDK

Keep your dashboard in sync with team commitments. The `list_action_items` tool gathers pending tasks across your workspace, letting you render them in lists or kanban boards. When a task moves, use `complete_action_item` to update the status. You get immediate feedback loops without manual state management.

Recording and transcript access

Access audio data directly within your application flow. Use `list_recordings` to identify session files and `get_transcript` to parse the actual conversation text for your AI logic. This provides a direct link between raw meeting data and the insights your agents generate. Everything stays within your controlled interface.

Setup guide

Set up Fellow 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 Fellow 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 Fellow transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fellow. 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.

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Common questions about Fellow MCP in Vercel AI SDK

You connect the MCP server via the Vercel AI SDK transport layer. Once linked, you expose the tools to your agents, allowing them to pull notes and status updates directly into your production frontend.

Yes, you can read and write task data using the provided tools. Fellow acts as the source of truth for your meeting records while your interface handles the display logic.

It is. You simply import the tool definitions into your agent setup. This lets the agent execute tasks based on the meeting notes it retrieves.

The `delete_note` tool removes the entry permanently from your workspace. Since this action is final, ensure you have proper confirmation logic in your UI before triggering it.

Your transcript data is accessed only through authenticated requests to the Fellow API. We handle the connection, ensuring that your sensitive conversation records remain isolated within your specific session.

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