How to Use the Brightcove MCP in Google ADK

Q: How do I add Brightcove tools to my Google ADK agent?

You import McpToolset and pass the server URL using StreamableHttpServerParameters. Then, include the toolset in the tools parameter when creating your LlmAgent. The agent immediately gains access to all ten video management capabilities.

Q: Can I restrict Google ADK to only read Brightcove data?

Yes, you can use the optional toolnames filter in the toolset configuration. By excluding updatevideo or deletevideo, you ensure the agent only reads catalog data. This prevents accidental modifications during automated runs.

Analyze and manage your Brightcove video library using the Brightcove MCP Server with Google ADK and Gemini.

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Connect Brightcove MCP to Google ADK

Create your Vinkius account to connect Brightcove 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 Brightcove with Google ADK

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Connect Google ADK to your Brightcove server

The `list_videos` and `list_playlists` tools in this Brightcove MCP Server provide direct access to your video library via Google's enterprise agent framework. You initialize the connection using `McpToolset` pointing to the secure Vinkius HTTP transport. The ADK registers these endpoints directly into your agent's active toolset. This allows Gemini to query your entire video catalog during long-context reasoning loops.

High-volume video classification with BigQuery

The `get_folder_videos` and `list_folders` tools allow your agent to map your video structure directly to your cloud databases. You can pull folder contents and cross-reference them with BigQuery viewer analytics. Because Gemini handles massive context windows, your agent can process metadata for thousands of videos at once. It identifies untagged files and updates them in bulk.

Automated metadata updates and folder organization

The `update_video` tool lets your agent modify video descriptions, tags, and custom fields based on analytical insights. Your agent reads performance data from Google Cloud, determines necessary changes, and updates the asset. If you need to organize assets, the agent queries folders and moves files to clean up your workspace. You maintain a structured library without manual data entry.

Setup guide

Set up Brightcove 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 Brightcove 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="Brightcove_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Brightcove tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Brightcove. 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.

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Common questions about Brightcove MCP in Google ADK

You import `McpToolset` and pass the server URL using `StreamableHttpServerParameters`. Then, include the toolset in the `tools` parameter when creating your `LlmAgent`. The agent immediately gains access to all ten video management capabilities.

Yes, you can use the optional `tool_names` filter in the toolset configuration. By excluding `update_video` or `delete_video`, you ensure the agent only reads catalog data. This prevents accidental modifications during automated runs.

Gemini can hold over a million tokens of context, allowing it to process large payloads from `list_videos`. The agent reads the entire catalog structure in one go. This eliminates the need for complex pagination logic in your code.

Yes, the server supports both Stdio and HTTP transports. For cloud-deployed enterprise agents, the streamable HTTP transport on this MCP Server is the most reliable option. It keeps your agent code lightweight and serverless.

Your credentials and video folder configurations are processed through an ephemeral, zero-trust sandbox. The server never stores your private account details or playlist configurations. All communication with the Google ADK runtime is encrypted in transit using standard TLS protocols.

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