LandTech MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Get Api Status, Get Building Data, Get Ownership Title, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect LandTech through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The LandTech app connector for OpenAI Agents SDK is a standout in the Real Estate category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="LandTech Assistant",
instructions=(
"You help users interact with LandTech. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from LandTech"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About LandTech MCP Server
Connect your LandTech account to any AI agent and access property intelligence through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from LandTech through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries LandTech, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Land Search — Search parcels by location, size, and zoning criteria
- Ownership Analysis — Browse ownership records and title information
- Planning Applications — Track planning permissions and application status
- Site Assessment — Access environmental, flood risk, and constraint data
- Development Tracking — Monitor construction activity and project pipelines
The LandTech MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 LandTech tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to LandTech through Vinkius, your AI agent gets direct access to every tool listed below — spanning geospatial-intelligence, land-search, property-development, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Check connection
Get property-level info
Get property title info
Get planning info
Get policy details
Find similar sales
Get regional insights
Check development risks
List regional policies
List portfolio sites
Find land for development
Find planning applications
Connect LandTech to OpenAI Agents SDK via MCP
Follow these steps to wire LandTech into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the LandTech MCP Server
OpenAI Agents SDK provides unique advantages when paired with LandTech through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
LandTech + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the LandTech MCP Server delivers measurable value.
Automated workflows: build agents that query LandTech, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries LandTech, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through LandTech tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query LandTech to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for LandTech in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with LandTech immediately.
"Search for development sites over 2 acres in London with residential zoning."
"Show ownership details and planning history for the Wandsworth site."
"List recent planning applications in Hackney and show environmental constraints."
Troubleshooting LandTech MCP Server with OpenAI Agents SDK
Common issues when connecting LandTech to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
LandTech + OpenAI Agents SDK FAQ
Common questions about integrating LandTech MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.