How to Use the Granola MCP in Mastra AI
Build complex meeting workflows in Mastra AI with automatic retries and conditional logic for your Granola data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Granola MCP to Mastra AI
Create your Vinkius account to connect Granola 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.
Complex meeting workflows for Mastra AI
Chain your logic with `list_folders` and `get_documents_batch`. If a request fails, Mastra handles the retry logic automatically. This is for building agents that handle multi-step tasks. You define the flow, the agent executes it.
Human-in-the-loop with Mastra AI
Require manual approval before executing `get_action_items` or other destructive-sounding calls. Use the built-in tool approval settings to keep a human in control. It ensures your agent only performs tasks you explicitly sign off on. Safety is baked into the framework.
Granola context for Mastra AI agents
Give your agents access to full meeting history via `list_by_date`. The agent can pull context from last month to inform today's decisions. Shared memory across your workflow makes the agent smarter over time. It avoids repeating the same questions.
Set up Granola MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. 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'stoolsobject. All Granola tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "granola-mcp-client",
servers: {
"granola-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "Granola Agent",
model: openai("gpt-4o"),
instructions: "You have access to Granola tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent Granola transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Granola. 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.
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 Granola MCP in Mastra AI
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