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Granola MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Granola through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "granola": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Granola Agent",
    instructions:
      "You help users interact with Granola " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Granola?"
  );
  console.log(result.text);
}

main();
Granola
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 Granola MCP Server

Connect your Granola.ai account to any AI agent and take full control of your AI-powered meeting notes, searchable conversation memory, and automated summaries through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Granola tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Meeting Document Orchestration — List all meeting documents in your workspace and retrieve primary entry points for workspace interactions natively
  • Live Content Retrieval — Access full structured content of meeting documents, parsing human-modified annotations and ML-generated notes flawlessy
  • AI Summarization — Retrieve synthesized AI-generated blocks reducing bulk meeting content into concise overviews and key takeaway nodes limitlessly
  • Action Item Tracking — Isolate specifically categorized target steps inferred from recorded meeting intent to automate post-meeting follow-ups
  • Transcript Auditing — Retrieve full speaker-detected transcripts parsed locally on device, containing semantic and chronological speech metadata natively
  • Participant Navigation — Identify meeting attendees by cross-referencing calendar arrays bound to Granola sessions synchronously
  • Global Workspace Search — Execute full-text term detection across all documents to find specific discussions and prioritized ranked datasets
  • Folder & List Management — Enumerate high-level categorization labels grouping documents physically inside directories to browse your workspace hierarchy
  • Batch Retrieval Oversight — Fetch multiple meeting documents by their IDs in a single request to analyze complex cross-meeting dependencies securely

The Granola MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Granola to Mastra AI via MCP

Follow these steps to integrate the Granola MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 12 tools from Granola via MCP

Why Use Mastra AI with the Granola MCP Server

Mastra AI provides unique advantages when paired with Granola through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Granola without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Granola tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Granola + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Granola MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Granola, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Granola as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Granola on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Granola tools alongside other MCP servers

Granola MCP Tools for Mastra AI (12)

These 12 tools become available when you connect Granola to Mastra AI via MCP:

01

get_action_items

Extract action items identified from a meeting document

02

get_content

Retrieve the full structured content of a meeting document

03

get_documents_batch

Fetch multiple documents by their IDs in a single request

04

get_metadata

Retrieve metadata for a specific meeting document

05

get_participants

Retrieve the list of participants for a specific meeting

06

get_summary

Retrieve the AI-generated summary of a meeting document

07

get_transcript

Retrieve the full transcript of a meeting with speaker detection

08

list_by_date

List meeting documents within a specific date range

09

list_documents

List all meeting documents in the Granola workspace with pagination

10

list_folders

List all document lists (folders) in the Granola workspace

11

list_recent

List the 20 most recent meeting documents

12

search_documents

Full-text search across all meeting documents

Example Prompts for Granola in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Granola immediately.

01

"Show me the 5 most recent meeting documents"

02

"What were the action items from meeting 'abc-123'?"

03

"Search for meeting notes mentioning 'competitor analysis'"

Troubleshooting Granola MCP Server with Mastra AI

Common issues when connecting Granola to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Granola + Mastra AI FAQ

Common questions about integrating Granola MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Granola to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.