Can I create an action item and assign it to a team member?

Yes! Use `create_action_item` with the title, assignee email, and optional due date. You can also link it to a specific meeting.

How do I get the notes from a specific meeting?

Use `list_notes` with the meeting ID to get all notes linked to that meeting, or `get_note` with a specific note ID for full content.

Can I mark action items as completed via the AI agent?

Absolutely. Use `complete_action_item` with the action item ID to mark it as done.

INSTANT PLUG AND PLAY

Fellow MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Fellow Status, Complete Action Item, Create Action Item, and more

Name: Fellow
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Fellow through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Fellow app connector 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

typescript

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 Fellow, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Fellow MCP Server

Connect your Fellow workspace to any AI agent and manage your entire meeting workflow through natural conversation.

The Vercel AI SDK gives every Fellow 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

Meetings — List and inspect meetings with titles, participants, dates, and agendas.
Notes — Access structured meeting notes and AI-generated summaries.
Action Items — Create, track, and complete action items with assignees and due dates.
Streams — Browse recurring meeting series and their schedules.
Users — List all workspace members and their roles.

The Fellow MCP Server exposes 12 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.

All 12 Fellow tools available for Vercel AI SDK

When Vercel AI SDK connects to Fellow through Vinkius, your AI agent gets direct access to every tool listed below — spanning meeting-management, collaborative-agendas, action-items, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_fellow_status

Verify Fellow API connectivity

complete_action_item

Mark an action item as completed

create_action_item

Optionally link it to a meeting, assign to a user by email, and set a due date. Create a new action item from a meeting

get_action_item

Get details of a specific action item

get_meeting

Get full details of a specific meeting

get_note

Get full content of a specific note

get_stream

Get details of a specific meeting stream

list_action_items

Optionally filter by status: "pending", "completed", or "archived". List action items from meetings

list_meetings

List recent meetings from Fellow

list_notes

Optionally filter by a specific meeting ID to get notes for that meeting only. List meeting notes

list_streams

List all meeting streams (recurring series)

list_users

List all users in the Fellow workspace

Connect Fellow to Vercel AI SDK via MCP

Follow these steps to wire Fellow into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from Fellow and passes them to the LLM

Why Use Vercel AI SDK with the Fellow MCP Server

Vercel AI SDK provides unique advantages when paired with Fellow 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 Fellow integration everywhere

Built-in streaming UI primitives let you display Fellow 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

Fellow + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Fellow MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Fellow in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Fellow tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Fellow capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Fellow through natural language queries

Example Prompts for Fellow in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Fellow immediately.

"Show me my recent meetings in Fellow."

"Create an action item 'Send proposal to client' and assign it to sarah@team.com with a due date of May 10."

"List all pending action items."

Troubleshooting Fellow MCP Server with Vercel AI SDK

Common issues when connecting Fellow to Vercel AI SDK through the Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Fellow + Vercel AI SDK FAQ

Common questions about integrating Fellow MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import 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?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.