Developer builds MCP server with Claude Code to automate Minnesota land search
Project overview
A developer with InfoSec and automation engineering experience built an MCP (Model Context Protocol) server using Claude Code to automate the search for rural Minnesota land. The goal was to find 40+ acres under $150K across 21 counties while applying 10 specific criteria: flood zone status, hospital proximity, mining distance, fiber internet availability, buildability, and other factors.
Technical implementation
The developer used Claude Code to write most of the Python code while steering the architecture and catching bad outputs. The system consists of:
- Python/FastMCP server with 7 tools
- SQLite database for persistence and deduplication
- Zillow and LandWatch scraping using httpx and BeautifulSoup
- n8n workflow for scheduled daily runs
- Docker containerization
- Compatibility with Claude or any MCP-compatible client
Results and insights
The first run processed 49 raw listings and filtered them down to 29 unique parcels that met the criteria. One notable find was a $44,900, 40-acre listing in Crow Wing County that the developer noted still needs investigation.
The developer emphasized that an MCP server isn't static code — it gets smarter as the model using it gets smarter. This architectural decision, though stumbled into initially, proved to be the right approach.
Developer approach
The developer has been using AI seriously for about two months when starting this project and describes themselves as "not a vibe coder" — they wanted to understand what they were building rather than just generating code without comprehension.
📖 Read the full source: r/ClaudeAI
👀 See Also
OpenClaw Agent Implements Contextual Reminders with Relationship Nudges
An OpenClaw user built a personal agent system with contextual reminders that trigger based on calendar load, current tasks, and time of day rather than fixed schedules. The system includes an escalation ladder for reminders and uses memory tracking to suggest contacting people based on relationship history.
Connecting Claude to Canva via API for automated design generation
Reddit user describes connecting Claude to Canva via API, enabling plain-English prompts to generate editable Canva files with adjusted fonts, spacing, and layout, saving hours per week.
AI Agents Running a Real E-commerce Business: Practical Insights from an Implementation
An AI agent system operates an actual e-commerce store, handling design, coding, marketing, and customer operations without human task execution. The implementation reveals that judgment calls like design rejection thresholds and incident prioritization present harder challenges than technical agent coordination.
Dynamic Workflows in Claude Code: 3x Feature Velocity with Parallel Subagents
Parallel subagents in Claude Code cut feature build time from 4-6 hours to 1.5-2 hours. One developer shares their workflow: 3 agents work simultaneously on API docs, tests, and code.