How to Use the LandTech MCP in Google ADK

Q: How do I initialize LandTech in Google ADK?

Use the McpToolset class with StreamableHttpServerParameters. Pass the resulting toolset directly to your LlmAgent configuration to expose the geospatial tools.

Q: Can Google ADK filter which LandTech tools the agent sees?

You can pass a toolnames list to restrict access. If you only want the agent running searchurbanplanning, you block the other 11 tools from the context window.

Connect LandTech to Google ADK and let Gemini process thousands of planning policies against your BigQuery datasets.

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Connect LandTech MCP to Google ADK

Create your Vinkius account to connect LandTech 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 LandTech with Google ADK

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Process Regional Rules with Google ADK

The `get_planning_policy` tool extracts the exact text of municipal development rules. Gemini reads these massive documents using its extended context window, comparing them against the regional frameworks pulled by `list_local_authority_plans`. You pipe this output directly into BigQuery. Your enterprise agents can now query structured zoning restrictions across entire counties without manual document review.

Analyze Real Estate Markets at Scale

Calling `get_real_estate_market_data` provides macro-level regional insights. Your agent pairs this with `get_price_comparables` to evaluate specific plot valuations against broader market trends. The MCP Server handles the data extraction while Google Cloud infrastructure manages the heavy lifting. You get a clear picture of transaction volumes and pricing shifts before committing capital.

Monitor Saved Development Sites

The `list_saved_sites` tool retrieves the active portfolio of plots you track. You can set up scheduled Vertex AI jobs to ping these sites daily and flag any new planning activity. Before running a massive batch job, your agent uses `get_api_status` to confirm the connection is live. This prevents failed runs and wasted compute costs.

Setup guide

Set up LandTech 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 LandTech 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="LandTech_agent",
    model="gemini-2.0-flash",
    instruction="You have access to LandTech 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 LandTech. 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 LandTech MCP in Google ADK

Use the `McpToolset` class with `StreamableHttpServerParameters`. Pass the resulting toolset directly to your `LlmAgent` configuration to expose the geospatial tools.

You can pass a `tool_names` list to restrict access. If you only want the agent running `search_urban_planning`, you block the other 11 tools from the context window.

Gemini ingests raw planning documents fetched via the MCP Server. It holds the entire local authority plan in memory and answers specific compliance questions.

The framework supports both Stdio and HTTP transports. Most cloud deployments use the HTTP option to connect with remote endpoints.

The tools process regional real estate market statistics and public comparables. Vinkius enforces a zero-trust architecture where the connection requires a single endpoint token and leaves zero traces post-execution.

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