Granola MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Granola as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="granola_agent",
tools=tools,
system_message=(
"You help users with Granola. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Granola tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Granola MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 12 tools from Granola automatically
Why Use AutoGen with the Granola MCP Server
AutoGen provides unique advantages when paired with Granola through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Granola tools to solve complex tasks
Role-based architecture lets you assign Granola tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Granola tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Granola tool responses in an isolated environment
Granola + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Granola MCP Server delivers measurable value.
Collaborative analysis: one agent queries Granola while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Granola, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Granola data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Granola responses in a sandboxed execution environment
Granola MCP Tools for AutoGen (12)
These 12 tools become available when you connect Granola to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Granola to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Granola + AutoGen FAQ
Common questions about integrating Granola MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Granola with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Granola to AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.