How to Use the Loom (Async Video Messaging) MCP in Google ADK

Q: How do I configure Loom (Async Video Messaging) inside the Google ADK?

Initialize McpToolset using the StreamableHttpServerParameters pointing to your Vinkius HTTP endpoint. Pass this toolset into your LlmAgent tools array to expose all eight Loom MCP operations.

Q: Can I restrict which Loom (Async Video Messaging) tools the Google ADK can access?

Yes. Use the optional toolnames filter when initializing your McpToolset to restrict access. For example, you can expose listvideos while completely hiding the destructive deletevideo tool.

Q: Can Gemini write video analytics directly to BigQuery?

Yes. Your agent calls getvideoanalytics to retrieve the viewer data, formats it, and uses standard BigQuery integrations to insert the records.

Connect Gemini's million-token context directly to your Loom workspaces using the Google ADK.

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Connect Loom (Async Video Messaging) MCP to Google ADK

Create your Vinkius account to connect Loom (Async Video Messaging) 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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Setup Loom (Async Video Messaging) with Google ADK

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Feed long-context transcripts to Gemini

The `get_transcript` tool pulls full video transcripts directly into Gemini's massive 1M+ token context window. This allows your enterprise agents to analyze hours of team video updates in a single pass. Because the Google ADK links native GCP infrastructure, you can write these extracted transcripts directly to BigQuery tables. This builds a searchable database of your organization's async video knowledge without manual copy-pasting.

Audit workspace engagement with Google ADK

You call `get_video_analytics` to extract viewer engagement logs and completion rates across your organization. The agent processes these logs, identifying which departments watch training videos. By combining this data with Vertex AI, you build predictive models on content adoption. The SDK manages the pipeline, passing clean JSON payloads from Loom to your analytical tables.

Organize video folders using this MCP Server

The `list_folders` tool lets your Gemini-powered agent map out your video workspace structure. If the agent finds misclassified assets, it executes `update_video` to rename titles based on their actual contents. This keeps your company's internal video library structured and searchable. You control exactly which MCP tools are exposed by passing a `tool_names` filter to the `McpToolset` constructor.

Setup guide

Set up Loom (Async Video Messaging) 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 Loom (Async Video Messaging) 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="Loom (Async Video Messaging)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Loom (Async Video Messaging) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Loom (Async Video Messaging) MCP in Google ADK

Initialize `McpToolset` using the `StreamableHttpServerParameters` pointing to your Vinkius HTTP endpoint. Pass this toolset into your `LlmAgent` tools array to expose all eight Loom MCP operations.

Yes. Use the optional `tool_names` filter when initializing your `McpToolset` to restrict access. For example, you can expose `list_videos` while completely hiding the destructive `delete_video` tool.

Yes, the framework supports both Stdio and HTTP transports. For production cloud deployments, we recommend using the HTTP transport with your secure Vinkius token.

Yes. Your agent calls `get_video_analytics` to retrieve the viewer data, formats it, and uses standard BigQuery integrations to insert the records.

All requests fetching workspace members or video titles run through isolated, ephemeral sandboxes. Your Loom credentials never touch Google Cloud directly; instead, Vinkius handles the authentication using a single, revocable token.

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