How to Use the Tactiq MCP in Google ADK

Q: How do I retrieve a full transcript using Tactiq with Google ADK?

You use gettranscript. This tool pulls the complete, raw text of the recording for deep analysis. If your agent needs to cross-reference details not caught by the summary, this is where you look.

Q: Can I find a list of all available recordings using Tactiq with Google ADK?

Yes, run listtranscripts. This gives you the metadata for every single recording in your account. It helps guide your agent to the right data source when executing a complex workflow.

Q: How do I check if the MCP Server is ready with Tactiq and Google ADK?

The checktactiqstatus tool confirms API connectivity. Always run this first; it assures your agent that all subsequent calls, like listing speakers or getting summaries, will actually execute.

Q: Does Tactiq support speaker identification when using Google ADK?

Absolutely. The listspeakers tool provides a clear breakdown of every person who spoke during the recorded meetings. This is critical for attributing specific points to the right individual.

Deep meeting intelligence processing using your Google ADK.

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Setup Tactiq with Google ADK

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Identify and track tasks assigned

The `get_action_items` tool isolates every explicit task mentioned in the transcript. It doesn't just list them; it structures them with ownership and due dates. Building an enterprise agent on Google Cloud requires this level of precision. You can feed these structured tasks directly into BigQuery for tracking against other operational data.

Get detailed meeting context

Use `get_meeting` to grab all the core details about a specific session—date, title, participants, etc. This provides essential metadata that simple transcript searches miss. When your agent needs to contextualize an action item, having the full `get_meeting` record prevents ambiguity and adds reliable depth to the output.

Gather AI-generated insights

The `list_insights` tool runs through the data and pulls out high-level findings. These are patterns or trends that mere summarization would miss. This is where long-context reasoning shines. By retrieving these insights, your agent can proactively flag risks or opportunities mentioned across many different recordings.

Setup guide

Set up Tactiq 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

Install Google ADK

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

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

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 Tactiq 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="Tactiq_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Tactiq tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Tactiq MCP in Google ADK

You use `get_transcript`. This tool pulls the complete, raw text of the recording for deep analysis. If your agent needs to cross-reference details not caught by the summary, this is where you look.

The system accesses everything: structured action items, speaker lists, full transcripts, and complex AI insights. Since your agent runs on GCP, all this data is easily queryable within BigQuery.

Yes, run `list_transcripts`. This gives you the metadata for every single recording in your account. It helps guide your agent to the right data source when executing a complex workflow.

The `check_tactiq_status` tool confirms API connectivity. Always run this first; it assures your agent that all subsequent calls, like listing speakers or getting summaries, will actually execute.

Absolutely. The `list_speakers` tool provides a clear breakdown of every person who spoke during the recorded meetings. This is critical for attributing specific points to the right individual.

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