How to Use the Fellow MCP in Mastra AI

Q: What tools are available for Mastra AI to manage tasks?

Your agents can use listactionitems, getactionitem, completeactionitem, and archiveactionitem. This covers the full lifecycle of a task from creation to completion.

Build reliable meeting automation workflows in Mastra AI with conditional logic for task completion and record management.

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Connect Fellow MCP to Mastra AI

Create your Vinkius account to connect Fellow to Mastra AI 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 Mastra AI

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Automated workflow orchestration

Trigger actions based on meeting outcomes. Use `list_action_items` to pull tasks into your workflow and `complete_action_item` to finish them once your logic confirms the criteria are met. This removes the manual overhead of updating task boards after every sync. Your agents handle the execution steps.

Managed meeting note retrieval

Integrate meeting content into your agent’s decision-making process. The `list_notes` and `get_note` tools allow your Mastra AI agents to extract context from past discussions. This ensures your agents have the necessary background to make informed decisions during automated tasks.

Recording management in Mastra AI

Handle your media assets programmatically. You can search through sessions using `list_recordings` and pull specific transcripts with `get_transcript` to audit compliance or verify meeting decisions. This setup allows for robust error handling and retries within your defined agent workflows.

Setup guide

Set up Fellow MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Fellow tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "fellow-mcp-client",
  servers: {
    "fellow-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Fellow Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Fellow tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Fellow transactions"
);
console.log(result.text);

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Common questions about Fellow MCP in Mastra AI

You register the MCP server as a tool resource within your Mastra AI agent configuration. This gives your agent the ability to call functions like `list_action_items` as part of its automated task chain.

Absolutely. You can write agents that check if a task is finished using `get_action_item` and then trigger subsequent steps in your workflow based on the result.

You can enable tool approval for any sensitive operation. This forces the agent to pause and wait for your input before it executes commands like `delete_recording`.

Your agents can use `list_action_items`, `get_action_item`, `complete_action_item`, and `archive_action_item`. This covers the full lifecycle of a task from creation to completion.

The server transmits your recording metadata and transcript content over encrypted channels. Only your authenticated agents can trigger the retrieval of these sensitive audio files.

Use it with your favorite AI tools

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

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