LandTech MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Get Api Status, Get Building Data, Get Ownership Title, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add LandTech as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The LandTech app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to LandTech. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in LandTech?"
)
print(response)
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.
LlamaIndex agents combine LandTech tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire LandTech into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the LandTech MCP Server
LlamaIndex provides unique advantages when paired with LandTech through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine LandTech tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain LandTech tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query LandTech, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what LandTech tools were called, what data was returned, and how it influenced the final answer
LandTech + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the LandTech MCP Server delivers measurable value.
Hybrid search: combine LandTech real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query LandTech to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying LandTech for fresh data
Analytical workflows: chain LandTech queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for LandTech in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting LandTech to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLandTech + LlamaIndex FAQ
Common questions about integrating LandTech MCP Server with LlamaIndex.