Can my agent retrieve the AI summary of a specific Granola meeting?

Yes. Use the 'get_summary' tool. The agent will fetch the native generative results, reducing the bulk meeting content into synthesized blocks and key takeaways flawlessly.

How do I extract action items from recorded notes via chat?

Use the 'get_action_items' tool. Your agent will isolate targeted steps inferred from the meeting intent, enabling you to automate your post-meeting follow-up workflows natively.

Can I search for meetings from a specific date range through the agent?

Absolutely. Use the 'list_by_date' tool. Provide the start and end dates in ISO 8601 format. The agent will trigger temporal scoping routines to expose specific documents mapped historically.

Granola MCP Server for Google ADK 12 tools — connect in under 2 minutes

Name: Granola
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Granola as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="granola_agent",
    instruction=(
        "You help users interact with Granola "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)

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.

Google ADK natively supports Granola as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Granola MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 12 tools from Granola via MCP

Why Use Google ADK with the Granola MCP Server

Google ADK provides unique advantages when paired with Granola through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Granola

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Granola tools with BigQuery, Vertex AI, and Cloud Functions

Granola + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Granola MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Granola and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Granola tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Granola regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Granola

Granola MCP Tools for Google ADK (12)

These 12 tools become available when you connect Granola to Google ADK via MCP:

get_action_items

Extract action items identified from a meeting document

get_content

Retrieve the full structured content of a meeting document

get_documents_batch

Fetch multiple documents by their IDs in a single request

get_metadata

Retrieve metadata for a specific meeting document

get_participants

Retrieve the list of participants for a specific meeting

get_summary

Retrieve the AI-generated summary of a meeting document

get_transcript

Retrieve the full transcript of a meeting with speaker detection

list_by_date

List meeting documents within a specific date range

list_documents

List all meeting documents in the Granola workspace with pagination

list_folders

List all document lists (folders) in the Granola workspace

list_recent

List the 20 most recent meeting documents

search_documents

Full-text search across all meeting documents

Example Prompts for Granola in Google ADK

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

"Show me the 5 most recent meeting documents"

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

"Search for meeting notes mentioning 'competitor analysis'"

Troubleshooting Granola MCP Server with Google ADK

Common issues when connecting Granola to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Granola + Google ADK FAQ

Common questions about integrating Granola MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.