mcp-york-county-assessor
Enables AI agents to query York County, SC property tax assessor records including owner names, property addresses, vehicle registrations, assessed values, and tax payment information.
README
York County Assessor MCP Server
MCP server for querying York County, South Carolina property tax assessor database. Provides AI agents with structured access to owner names, property addresses, vehicle registrations, assessed values, and tax payment records.
Features
- Search by Name: Find all properties and vehicles owned by a person
- Search by Address: Find properties at a specific address
- Autocomplete: Get suggestions for names and addresses
- Detailed Records: View full tax, assessment, and payment information
- Caching: Built-in caching with configurable rate limiting
- Multiple Record Types: Supports both real estate and vehicle records
Installation
git clone https://github.com/aravindtri/mcp-york-county-assessor.git
cd mcp-york-county-assessor
npm install
npm run build
For AI Agents: How to Configure This MCP
GitHub Copilot CLI
Add this to your ~/.copilot/settings.json:
{
"mcpServers": {
"york-county-assessor": {
"name": "York County Property & Vehicle Records",
"type": "stdio",
"command": "node",
"args": ["/absolute/path/to/mcp-york-county-assessor/dist/index.js"],
"description": "Look up owner names, property addresses, vehicle registrations, assessed values, and tax payments from York County, SC public records",
"tools": {
"search_by_name": "Find all property and vehicle records for a person (e.g., 'John Smith')",
"search_by_address": "Find property records at an address (e.g., '123 Main St')",
"autocomplete": "Get name/address suggestions for partial queries",
"get_records": "Get detailed records by exact name or address with pagination",
"cache_stats": "View cache hit rates and memory usage",
"clear_cache": "Clear cached results for fresh data"
}
}
}
}
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"york-county-assessor": {
"command": "node",
"args": ["/path/to/mcp-york-county-assessor/dist/index.js"]
}
}
}
VS Code / Copilot Chat
Use the same command + args configuration in your VS Code MCP settings.
What AI Agents Can Do With This MCP
- "Who owns 123 Main Street?" → returns owner name, tax history, assessment
- "What vehicles does [NAME] own?" → returns make, model, year, tax status
- "How much property tax did [NAME] pay last year?" → returns amounts, due dates, payment status
- "Find properties on Oak Ridge Lane" → address search returns matching parcels
- "Look up this VIN" → vehicle records include VIN (masked) and tag numbers
MCP Client Configuration
Add to your MCP client config (e.g., Claude Desktop, VS Code, or Copilot CLI):
{
"mcpServers": {
"york-county-assessor": {
"command": "node",
"args": ["path/to/mcp-york-county-assessor/dist/index.js"]
}
}
}
Usage
As a standalone MCP server
npm start
Programmatic usage
import { YorkCountyAssessorClient } from './assessor-client';
const client = new YorkCountyAssessorClient();
// Search by name
const properties = await client.searchByName('John Smith');
// Search by address
const records = await client.searchByAddress('123 Main St');
// Get autocomplete suggestions
const suggestions = await client.autocomplete('Arav');
API Tools
search_by_name
Search for all property and vehicle records by owner name.
Parameters:
name(string): Owner name to search for
Returns: Array of property records with owner, description, type, valuation, and tax information.
search_by_address
Search for property records by address.
Parameters:
address(string): Property address to search for
Returns: Array of property records at the specified address.
autocomplete
Get autocomplete suggestions for names and addresses.
Parameters:
query(string): Search query
Returns: Array of autocomplete results with type (Name/Address) and score.
get_records
Get detailed records by search value (can be name or address).
Parameters:
search_value(string): Name or address to searchskip(number, optional): Number of records to skip for pagination (default: 0)
Returns: Array of detailed property records.
cache_stats
Get cache statistics.
Returns: Object with keys, hits, ksize, and vsize.
clear_cache
Clear all cached data.
Returns: Confirmation message.
Record Types
The server returns data for multiple record types:
- Vehicle: Cars, trucks, motorcycles registered in York County
- Property: Real estate parcels with addresses, assessments, and tax information
Property Record Fields
{
ownerName: string;
description: string;
recordType: "Vehicle" | "Property";
year: number;
district: string;
// For vehicles
make?: string;
model?: string;
modelYear?: number;
vin?: string;
tag?: string;
// Valuations
assessedValue?: number;
appraised?: number;
baseTax?: number;
// Tax information
countyTax?: number;
mills?: number;
// Payment
paymentStatus: string;
paymentDate?: string;
paymentAmount?: number;
dueDate?: string;
billDate?: string;
// IDs
ids?: Record<string, {Name: string; Value: string; Private: boolean}>;
}
Rate Limiting
The client includes built-in rate limiting to prevent overwhelming the server:
- Default: 20 requests per 60 seconds
- Configurable: Pass
RateLimitConfigto constructor
const client = new YorkCountyAssessorClient({
maxRequests: 10,
windowMs: 30000 // 10 requests per 30 seconds
});
Caching
All search results are cached for 1 hour by default. Clear cache as needed:
client.clearCache();
Data Source
Data is sourced from: https://onlinetaxes.yorkcountygov.com/taxes#/WildfireSearch
Legal Notice
This tool accesses publicly available tax assessor records. Ensure compliance with all applicable laws and regulations regarding access and use of this data.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.