home / mcp / tenant leasing analytics mcp server
Provides guest card analytics and market rent comparisons from tenant-info data, with email generation and visual reports.
Configuration
View docs{
"mcpServers": {
"kkamalvanshi-tenant-leasing-mcp": {
"command": "/Users/kkamalva/financial_analysis/MCP/kurt-data/run_server.sh",
"args": []
}
}
}You run a focused MCP server that delivers tenant leasing analytics by connecting to guest card data and nearby rental listings. It provides insights on guest inquiries, market rent conditions, and generates emails and visual reports to keep leasing teams informed and responsive.
Start the MCP server in your environment and connect to it with your MCP client. You will access a local, self-contained analytics service that exposes a set of capabilities through straightforward commands. Practical patterns include generating a leasing update email after a week of activity, creating a market report with multiple charts, querying the database for summaries, and running analytics on guest cards and nearby units.
Prerequisites you need on your machine are Python 3.10 or newer and the uvx/MCP tooling used to sync and run MCP servers.
Install and set up the MCP server by following these steps.
cd /Users/kkamalva/financial_analysis/MCP/kurt-data
uv syncConfiguration for the MCP server is self-contained within the kurt-data folder. The server exposes a local runtime that you start with the script provided in the folder. For environments using Claude integration, you can register the MCP server by adding its run command to the Claude desktop configuration so you can launch it from the Claude interface.
Here is the exact command used to start the MCP server in a Claude configuration example. You would place this in the Claude configuration file under mcpServers to connect to the local runtime.
{
"mcpServers": {
"tenant_leasing": {
"command": "/Users/kkamalva/financial_analysis/MCP/kurt-data/run_server.sh"
}
}
}View database schema and column descriptions.
Execute a SELECT query against the MCP server's database.
Produce a comprehensive summary of all guest inquiries.
Filter prospects by minimum income and minimum credit criteria.
Analyze nearby rental market conditions and trends.
Create professional leasing update emails for recipients.
Generate a full 6-chart visual market report.
Generate specific chart types for targeted insights.