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 OpenAI Agents SDK 12 tools — connect in under 2 minutes

Name: Granola
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Granola through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Granola Assistant",
            instructions=(
                "You help users interact with Granola. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Granola"
        )
        print(result.final_output)

asyncio.run(main())

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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.

The OpenAI Agents SDK auto-discovers all 12 tools from Granola through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Granola, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Granola MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 12 tools from Granola

Why Use OpenAI Agents SDK with the Granola MCP Server

OpenAI Agents SDK provides unique advantages when paired with Granola through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Granola + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Granola MCP Server delivers measurable value.

Automated workflows: build agents that query Granola, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Granola, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Granola tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Granola to resolve tickets, look up records, and update statuses without human intervention

Granola MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Granola to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Granola to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Granola + OpenAI Agents SDK FAQ

Common questions about integrating Granola MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.