LandTech MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Get Api Status, Get Building Data, Get Ownership Title, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect LandTech through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The LandTech app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to LandTech "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in LandTech?"
)
print(result.data)
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.
Pydantic AI validates every LandTech tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire LandTech into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the LandTech MCP Server
Pydantic AI provides unique advantages when paired with LandTech through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your LandTech integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your LandTech connection logic from agent behavior for testable, maintainable code
LandTech + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the LandTech MCP Server delivers measurable value.
Type-safe data pipelines: query LandTech with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple LandTech tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query LandTech and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock LandTech responses and write comprehensive agent tests
Example Prompts for LandTech in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting LandTech to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiLandTech + Pydantic AI FAQ
Common questions about integrating LandTech MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.