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How to Use the Granola MCP in AutoGen

Let AutoGen agents debate project decisions using real-time transcripts and action items pulled from Granola.

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AutoGen

Connect Granola MCP to AutoGen

Create your Vinkius account to connect Granola to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Consensus-Driven Meeting Analysis

This MCP Server exposes `get_transcript` so your AutoGen agents can debate the details of a meeting. One agent can analyze the transcript for technical requirements while another flags timeline risks. The agents negotiate their findings in a shared conversation thread, ensuring a balanced summary. This prevents a single agent from misinterpreting raw meeting discussions.

Collaborative Action Item Auditing in AutoGen

The `get_action_items` tool retrieves extracted tasks from Granola documents for your agent group to review. A coordinator agent can assign these tasks to specific team members based on the discussion context. If a task is ambiguous, a critic agent calls `get_content` to verify the original phrasing. This collaborative verification ensures that the final task list is accurate before export.

Automated Folder Organization

The `list_folders` tool enables AutoGen agents to inspect your workspace structure and organize meeting notes. Your agents can debate where a newly created meeting document belongs based on its metadata. By calling `list_documents` and `get_metadata`, the agents determine the correct folder placement. This automates workspace maintenance without human intervention.

Setup guide

Set up Granola MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install AutoGen with MCP

    Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.

  2. 2

    Fetch tools from the MCP

    Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes Granola tools and returns structured results.

agent.py
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Granola_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Granola data")
print(result.messages[-1].content)

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Common questions about Granola MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with your Vinkius HTTP URL. Pass the resulting tool list to your `AssistantAgent` constructor to convert the MCP schemas.
Yes, agents can call `search_documents` to find relevant past discussions. They use this search capability to resolve debates about historical project decisions.
The agents use `list_recent` to pull the latest 20 meetings. They then coordinate to parse the most relevant notes first based on current project priorities.
Yes, agents don't waste tokens on raw dialogue when they can call `get_summary` to grab high-level details. This saves token costs when the agents only need a quick status update.
All tool calls, including `get_metadata`, run inside Vinkius's secure, isolated V8 sandbox. This MCP connection ensures your meeting details and participant lists are never exposed to public networks.

Start using the Granola MCP today

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