How to Use the Fliki (AI Text-to-Video & Speech API) MCP in Google ADK

Q: How do I connect the Fliki (AI Text-to-Video & Speech API) server to my Google ADK agent?

You instantiate McpToolset with the server's HTTP URL and pass it to your LlmAgent tools list. The Gemini model automatically detects the tools and decides when to run them.

Q: Can I limit which tools the Google ADK exposes from the Fliki (AI Text-to-Video & Speech API) MCP Server?

Yes, you can use the toolnames filter when setting up your McpToolset. This allows you to restrict the agent to only use generatevideo and block access to voice listing.

Feed BigQuery data directly into Gemini models to generate and track video assets using the Google ADK.

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Connect Fliki (AI Text-to-Video & Speech API) MCP to Google ADK

Create your Vinkius account to connect Fliki (AI Text-to-Video & Speech API) 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 Fliki (AI Text-to-Video & Speech API) with Google ADK

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Feed BigQuery Data Directly into `generate_video`

Pull raw text datasets from BigQuery and have your Gemini agent convert them into production-ready video scripts instantly. The Google ADK allows your `LlmAgent` to invoke `generate_video` using these scripts, setting custom aspect ratios and background music based on your structured data. Because Gemini handles massive context windows, your agent can process hours of raw data and output multiple video requests in a single turn. The integration requires just a few lines of Python to hook up your database to the video pipeline.

Scale Voice Generation with Google ADK

Let Gemini analyze the sentiment of your content before choosing a narrator. The agent calls `list_voices` to see what voices are available, then selects the perfect match to pass into the video generator. You can restrict which tools are exposed to the model by using the `tool_names` filter from this MCP Server configuration. This prevents the agent from running unauthorized voice queries and keeps execution focused.

Managing Render Latency with Gemini Agents

Long video rendering can stall your enterprise workflows if not handled correctly. Your agent uses `get_video` to check the rendering status, allowing your pipeline to pause and resume based on the actual status of the video file. The Google ADK supports both Stdio and HTTP transports to connect to this MCP Server. This flexibility means you can deploy your video generator agents inside Cloud Run or run them locally during development.

Setup guide

Set up Fliki (AI Text-to-Video & Speech API) 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 Fliki (AI Text-to-Video & Speech API) 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="Fliki (AI Text-to-Video & Speech API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Fliki (AI Text-to-Video & Speech API) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Fliki (AI Text-to-Video & Speech API) MCP in Google ADK

You instantiate `McpToolset` with the server's HTTP URL and pass it to your `LlmAgent` tools list. The Gemini model automatically detects the tools and decides when to run them.

Yes, you can use the `tool_names` filter when setting up your `McpToolset`. This allows you to restrict the agent to only use `generate_video` and block access to voice listing.

Gemini can process millions of tokens, but you must make sure the generated script passed to `generate_video` fits within the character limits of the video generator.

The toolset supports both Stdio and HTTP transports. For cloud deployments on Google Cloud Platform, the HTTP transport is recommended.

Your database queries and script payloads are transmitted over a secure, single-endpoint token managed by Vinkius. The server runs in an ephemeral V8 sandbox, meaning no video scripts or voice configurations are cached or stored on the hosting infrastructure after execution.

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