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How to Use the Fellow MCP in Google ADK

Connect Gemini to your Fellow workspace using Google ADK to analyze transcripts and manage tasks at enterprise scale.

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Google ADK

Connect Fellow MCP to Google ADK

Create your Vinkius account to connect Fellow to Google ADK 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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Enterprise Meeting Intelligence

The `get_transcript` tool pulls full text records of your meetings directly into Gemini's long-context window. This allows your Google ADK agent to process hours of conversation alongside your existing BigQuery datasets. Your agent uses `list_recordings` to find specific sessions and `get_recording` to gather metadata. This combination makes it easy to cross-reference verbal agreements with actual database records.

Automated Task Lifecycle Management

The `list_action_items` tool lets your Gemini agent scan your entire workspace for pending tasks. When a task is resolved, the agent triggers `complete_action_item` to update the workspace status. For tasks that are no longer relevant, the agent uses `archive_action_item` to remove them from active lists. You can use `get_action_item` to inspect individual task details before making changes, keeping your project management clean. This MCP Server integration ensures your records match reality.

Workspace Document Control with Google ADK

The `list_notes` tool retrieves the index of all meeting documentation in your workspace. Your agent then uses `get_note` to read specific agendas, decision logs, and attendee lists. To maintain workspace hygiene, your agent can run `delete_note` to purge obsolete files. This action requires human verification to prevent data loss. The MCP setup handles the connection securely, letting you focus on building Gemini tools.

Setup guide

Set up Fellow MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Fellow tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Fellow_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Fellow tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fellow. 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 Fellow MCP in Google ADK

Initialize the MCP toolset with your HTTP server parameters and pass it to the ADK agent constructor. This exposes all twelve meeting management tools to Gemini's reasoning engine.
Yes, you can pass a tool name filter to your toolset configuration. This allows you to expose read-only tools like `get_note` while blocking destructive tools like `delete_note`.
Your agent calls `get_current_user` to retrieve the active profile details. This ensures the agent only accesses resources that the authenticated user has permission to see.
Yes, you can feed entire transcripts retrieved via `get_transcript` directly to Gemini. This lets the model analyze massive amounts of meeting data without hitting context limits.
Your data is protected by Vinkius's zero-trust architecture. Connection tokens are processed inside ephemeral sandboxes, meaning your meeting notes and transcripts are never stored on intermediate servers.

Start using the Fellow MCP today

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Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Fellow. Just plug in your AI agents and start using Vinkius.

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