How to Use the Granola MCP in CrewAI

Q: How do I perform a Granola search using CrewAI?

Add searchdocuments to your agent's toolset. The agent will execute the search and synthesize the findings into its final report.

Q: Does CrewAI support Granola tool filtering?

Yes. You can restrict your agents to specific tools like getmetadata to ensure they only access the information necessary for their assigned role.

Deploy a specialized crew of agents in CrewAI to monitor, summarize, and act on your Granola meeting records.

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Connect Granola MCP to CrewAI

Create your Vinkius account to connect Granola to CrewAI 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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Setup Granola with CrewAI

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Autonomous meeting crews for CrewAI

Assign a researcher agent to `list_recent` meetings and a moderator agent to `get_action_items`. They work together to manage your task list. Each agent has a specific role. They collaborate to turn raw transcripts into organized work.

Granola role-based access for CrewAI

Use tool filters to give your lead agent access to `get_transcript` while limiting others to `get_summary`. This enforces strict hierarchy. It prevents junior agents from pulling more data than they need. You decide who sees what.

Shared meeting memory in CrewAI

Pass meeting context between agents using the shared state. One agent pulls the document, another extracts the content via `get_content`. This eliminates redundant API calls. The team works as one unit.

Setup guide

Set up Granola MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Granola tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Granola Analyst",
    goal="Access and analyze Granola data via MCP.",
    backstory="Expert analyst with direct Granola access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Granola transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Granola Analyst",
        goal="Access and analyze Granola data via MCP.",
        backstory="Expert analyst with direct Granola access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Granola transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Granola. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about Granola MCP in CrewAI

Add `search_documents` to your agent's toolset. The agent will execute the search and synthesize the findings into its final report.

Yes. You can restrict your agents to specific tools like `get_metadata` to ensure they only access the information necessary for their assigned role.

The server processes all requests in an ephemeral V8 sandbox. Your meeting content disappears immediately after the agent completes its task.

You provide one endpoint token during setup. The server handles the rest of the communication with your workspace.

It accesses your meeting transcripts and participant metadata. This data is used only for the tasks your agents are currently executing.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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