How to Use the Deterministic Text Summarizer & Extractor MCP in Google ADK

Q: How do I configure the Deterministic Text Summarizer & Extractor with Google ADK?

Install the google-adk package. Wrap your Vinkius MCP endpoint URL using StreamableHttpServerParameters inside an McpToolset. Pass that toolset to your agent.

Q: Can I restrict which tools the Deterministic Text Summarizer & Extractor exposes to Google ADK?

You can. Use the toolnames filter when setting up your toolset. This lets you hide the bigram extractor if you only want the agent using the summary function.

Run pure term frequency text analysis directly inside your Google ADK agent pipelines. Math, not magic.

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Connect Deterministic Text Summarizer & Extractor MCP to Google ADK

Create your Vinkius account to connect Deterministic Text Summarizer & Extractor 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 Deterministic Text Summarizer & Extractor with Google ADK

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Predictable keyword extraction for Gemini

The Deterministic Text Summarizer & Extractor exposes three strict algorithmic tools to your Google ADK environment. When you pass a million tokens into Gemini, you often lose the thread. Calling `extract_top_keywords` gives your agent a hard, mathematical anchor of the most frequent terms. It strips out stop words and returns raw counts. You can use these exact keywords to query BigQuery tables or filter Vertex AI datasets. Your agent stops guessing what the document is about and starts reading the actual frequency data.

Extractive summaries via MCP Server

The `extractive_summary` tool scores and selects sentences based purely on term frequency. It does not rewrite or paraphrase anything. The text you get out is exactly the text you put in, just filtered down to the highest-scoring lines. This is perfect for long-context reasoning. Instead of forcing Gemini to summarize a massive dump of logs, you run the MCP extractive summary first. The agent then operates on a dense, mathematically verified subset of the original data.

Bigram analysis for structured pipelines

The `extract_top_bigrams` tool identifies the most common two-word phrases in your text. This gives your agent immediate insight into recurring themes without relying on a black-box model. It calculates the pairs and hands them back. Connecting this to your Google Cloud setup is straightforward. You wrap the Vinkius URL in `McpToolset` and pass it to your `LlmAgent`. The agent can then pipe those bigrams directly into your enterprise data warehouse.

Setup guide

Set up Deterministic Text Summarizer & Extractor 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 Deterministic Text Summarizer & Extractor 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="Deterministic Text Summarizer & Extractor_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Deterministic Text Summarizer & Extractor tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Deterministic Text Summarizer & Extractor MCP in Google ADK

Install the `google-adk` package. Wrap your Vinkius MCP endpoint URL using `StreamableHttpServerParameters` inside an `McpToolset`. Pass that toolset to your agent.

You can. Use the `tool_names` filter when setting up your toolset. This lets you hide the bigram extractor if you only want the agent using the summary function.

Gemini is great at reasoning, but generative models drift. This server forces the agent to look at hard frequency math before it makes decisions.

No. The server runs the extraction logic entirely on its own. You are not waiting on third-party NLP services to process your text.

The MCP server analyzes raw text strings within a zero-trust architecture. Vinkius spins up the environment for the request and destroys it immediately after. Your proprietary text never touches a persistent disk.

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