How to Use the Cuiabá Transparency MCP in Google ADK

Q: Will Google ADK filter Cuiabá Transparency tools?

You can restrict access easily. Use the toolnames filter in your McpToolset to only expose specific endpoints like listrevenues while hiding the rest.

Feed Cuiabá city data directly into Gemini using Google ADK to analyze massive public budgets.

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Connect Cuiabá Transparency MCP to Google ADK

Create your Vinkius account to connect Cuiabá Transparency 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 Cuiabá Transparency with Google ADK

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Dump municipal budgets into Gemini

City finances generate massive files. Calling `list_budget` and `list_revenues` pulls the raw data into Google ADK. Gemini's million-token context window swallows the entire fiscal year without breaking a sweat. You don't have to chunk the results. The agent reads every line of income and allocation simultaneously. It spots anomalies across different departments because it holds the full dataset in memory.

Cross-reference contracts with BigQuery

Enterprise teams already keep internal vendor data in Google Cloud. This MCP Server lets your agent pull public tenders via `list_contracts` and compare them against your private tables. The integration is native. Your LlmAgent fetches the public vendor agreement, writes the relevant clauses to BigQuery, and alerts your procurement team. Everything stays inside the GCP ecosystem.

Track city expenses using Google ADK

Auditing municipal spending means looking at both hard costs and payroll. Your code runs `list_expenses` alongside `list_personnel` to build a complete picture of where money goes. Connecting the tools takes seconds. You wrap the Vinkius URL in a `McpToolset` using `StreamableHttpServerParameters`. Pass that to your agent's tools list and start querying immediately.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cuiabá Transparency Portal. 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 Cuiabá Transparency MCP in Google ADK

Install google-adk and initialize an McpToolset. Point the StreamableHttpServerParameters to your Vinkius URL. Assign it to the tools parameter when building your LlmAgent.

You can restrict access easily. Use the tool_names filter in your McpToolset to only expose specific endpoints like list_revenues while hiding the rest.

Yes, and it excels at it. The massive context window easily handles the raw output from tools like list_budget. You get deep reasoning across the entire municipal dataset.

The framework supports both Stdio and HTTP. For Vinkius endpoints, you use the HTTP transport to connect over the network.

The connection operates on a strict zero-trust model. When your code requests public tender details or city expenditures, the transaction occurs via an encrypted HTTP stream. The Vinkius endpoint requires a single auth token and destroys the instance post-query.

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