How to Use the LandTech MCP in AutoGen

Q: How do I configure LandTech with AutoGen?

Install autogen-extmcp. Use mcpservertools with the endpoint URL, and pass the tools to your AssistantAgent constructor.

Q: Which AutoGen agent should handle LandTech planning tools?

Create a dedicated municipal agent. Give it access to getplanningdetails and listlocalauthorityplans so it can specialize in zoning regulations.

Q: Can multiple agents use the LandTech MCP Server simultaneously?

Yes. The McpToolAdapter handles the schema conversion, allowing your risk, finance, and planning agents to call different tools during the same conversation.

Q: How do I verify API connection status in my AutoGen script?

Assign getapistatus to a system-admin agent. It can ping the server before the main debate starts to ensure all geospatial data feeds are live.

Deploy AutoGen multi-agent teams to debate land acquisitions and analyze site constraints.

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Connect LandTech MCP to AutoGen

Create your Vinkius account to connect LandTech to AutoGen 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 AutoGen

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Perplexity

Multi-agent site constraint negotiation

The `get_site_constraints` tool feeds raw environmental and legal risk factors to your AutoGen risk-assessment agent. Meanwhile, your financial agent pulls `get_price_comparables` to model the potential upside of the plot. These agents argue the merits of the deal. The risk agent flags a conservation boundary, while the financial agent pushes back with high projected margins. You watch them debate the tradeoffs until they reach a consensus on whether to acquire the land.

Automate planning history audits

The `search_urban_planning` tool provides a history of approved and rejected applications for any parcel. Your planning-specialist agent parses this timeline, looking for patterns in local council decisions. A secondary legal agent cross-references those findings against current rules using `get_planning_policy`. They collaborate to determine the likelihood of securing residential permits before you spend a dime on architects. Let's cut to it—if the council hates density, you need to know immediately.

Coordinate land discovery with this MCP Server

The `search_land_parcels` tool initiates the workflow by finding off-market opportunities based on your parameters. A dispatch agent assigns the most promising coordinates to specialized researchers. One agent takes the ID and runs `get_ownership_title` to identify the freehold owner. Another runs `get_building_data` to check existing structures. They compile their individual findings into a final, unified pitch document for your review.

Setup guide

Set up LandTech MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes LandTech tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="LandTech_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent LandTech data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="LandTech_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent LandTech data")
    print(result.messages[-1].content)

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 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 AutoGen

Install `autogen-ext[mcp]`. Use `mcp_server_tools` with the endpoint URL, and pass the tools to your `AssistantAgent` constructor.

Create a dedicated municipal agent. Give it access to `get_planning_details` and `list_local_authority_plans` so it can specialize in zoning regulations.

Yes. The `McpToolAdapter` handles the schema conversion, allowing your risk, finance, and planning agents to call different tools during the same conversation.

Assign `get_api_status` to a system-admin agent. It can ping the server before the main debate starts to ensure all geospatial data feeds are live.

The system handles highly sensitive parcel coordinates and pricing models. Vinkius secures the transport layer and destroys the execution environment after every call, leaving zero trace of your acquisition targets.

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