How to Use the Fathom MCP in Mastra AI

Q: Can Mastra AI automate Fathom meeting follow-ups?

Absolutely. You can create a workflow that calls getactionitems after every meeting and triggers an email agent to send summaries to participants.

Build complex meeting workflows in Mastra AI with automatic retries and conditional logic.

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Connect Fathom MCP to Mastra AI

Create your Vinkius account to connect Fathom 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 Fathom with Mastra AI

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Mastra AI workflow orchestration

Chain your meeting operations into resilient agents. Use `get_meeting` to trigger downstream actions like updating your CRM or notifying slack channels. Failures happen. With Mastra, you can set up retries for `get_transcript` calls, ensuring your data pipeline stays healthy even if the network blips.

Human-in-the-loop approvals

Control which actions go live. Wrap `get_action_items` in an approval workflow to ensure the AI doesn't push bad data into your systems. Maintain total control. You define the logic, and the agent pauses until a human verifies the extraction, keeping your database clean.

Sync meetings to your team stack

Keep your team updated with `get_team_meetings`. You can build a worker that polls for new sessions and broadcasts them to your internal tools. Automate the boring stuff. Your agents handle the heavy lifting, from gathering `get_attendees` to summarizing the session for absent stakeholders.

Setup guide

Set up Fathom 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 Fathom 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: "fathom-mcp-client",
  servers: {
    "fathom-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Fathom MCP in Mastra AI

Absolutely. You can create a workflow that calls `get_action_items` after every meeting and triggers an email agent to send summaries to participants.

You initialize the client as a tool provider. Once registered, your agents can call any of the 12 tools as part of their decision-making process.

Yes. You can define backoff strategies in your workflow definitions to respect the API limits while you process bulk meeting data.

Not necessarily. You can pipe data directly from the tools into your next step, though caching results is good practice for performance.

Your transcript data remains in the Fathom cloud. The agent will simply retry the request based on your defined policy, ensuring no data loss occurs during the transport phase.

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