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Vinkius runs on Google ADK

How to Use the Precisely MCP in Google ADK

Connect the Precisely MCP Server to your Google ADK agents to power location-based reasoning within the Gemini ecosystem.

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Works with every AI agent you already use

…and any MCP-compatible client

Precisely MCP on Cursor AI Code Editor MCP Client Precisely MCP on Claude Desktop App MCP Integration Precisely MCP on OpenAI Agents SDK MCP Compatible Precisely MCP on Visual Studio Code MCP Extension Client Precisely MCP on GitHub Copilot AI Agent MCP Integration Precisely MCP on Google Gemini AI MCP Integration Precisely MCP on Lovable AI Development MCP Client Precisely MCP on Mistral AI Agents MCP Compatible Precisely MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Google ADK

Connect Precisely MCP to Google ADK

Create your Vinkius account to connect Precisely to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Geospatial reasoning in Google ADK

Your agent can resolve addresses to coordinates using `geocode_address` and then map them to timezones via `get_timezone`. This ensures your agent understands the local time and location of every asset it manages. Reverse lookup is equally fast with `reverse_geocode`. You can take any coordinate set from your BigQuery tables and find the nearest postal address, bridging the gap between raw data and human-readable locations.

Automated property intelligence for Google ADK

Use `get_property_info` to pull parcel-level details directly into your agent's reasoning loop. You'll get building attributes like square footage and assessed value without manual database lookups. Pair this with `get_local_tax` to determine the exact tax impact for a specific property. Your agent can calculate liabilities instantly, making it a natural fit for real estate or insurance automation.

Global address management via Google ADK

Enable `autocomplete_address` to build better user experiences in your front-end. It suggests up to 10 candidates as users type, reducing entry errors before the data even hits your backend. Use `verify_address` to standardize these inputs against global datasets. Your agent will always work with clean, deliverable data, which is essential for any enterprise application.

Setup guide

Set up Precisely 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Precisely 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="Precisely_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Precisely tools via MCP.",
    tools=mcp_tools,
)

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

Why Choose Vinkius

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Precisely MCP in Google ADK

Precisely offers a mature API for global geocoding and property intelligence. It allows your Google ADK agent to perform complex spatial lookups that aren't natively available in the cloud console.
You pass the MCP server endpoint to the `McpToolset` constructor. Precisely then becomes available as a set of callable functions, which your Google ADK agent can invoke as needed.
Absolutely. By linking `enrich_flood_risk` and `enrich_crime_risk`, Precisely allows your Google ADK agent to evaluate site safety during the quoting process.
The server manages connection pooling to handle high throughput. Precisely is designed to support the heavy query volume typical of enterprise agents on Google Cloud.
Precisely provides demographic insights at the census block level. It ensures your Google ADK agent accesses aggregated, non-PII data, maintaining compliance with regional privacy standards.

Start using the Precisely MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Precisely. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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