Google PageRank for AI agents. 25,000+ tools indexed.

rentalot-mcp MCP Server

Rentalot-ai/rentalot-mcp

Score: 53.3 Rank #55 MCP Server
Are you the maintainer of Rentalot-ai/rentalot-mcp? Claim this listing →

MCP server exposing the Rentalot REST API (65 tools) for AI assistants — property management, tenants, leases, showings, and more

Add AgentRank to Claude Code Discover and compare tools like Rentalot-ai/rentalot-mcp — your AI finds the right one automatically
Get API Access →
claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

Rentalot-ai/rentalot-mcp is a TypeScript MCP server licensed under MIT. MCP server exposing the Rentalot REST API (65 tools) for AI assistants — property management, tenants, leases, showings, and more Topics: ai-tools, claude, lease-management, mcp, mcp-server, model-context-protocol, property-management, real-estate, rental, tenant-management, typescript.

Ranked #55 out of 116 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

TypeScript MIT
ai-toolsclaudelease-managementmcpmcp-servermodel-context-protocolproperty-managementreal-estaterentaltenant-managementtypescript

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Good
License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

AgentRank score for Rentalot-ai/rentalot-mcp
[![AgentRank](https://agentrank-ai.com/api/badge/tool/Rentalot-ai--rentalot-mcp)](https://agentrank-ai.com/tool/Rentalot-ai--rentalot-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/Rentalot-ai--rentalot-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/Rentalot-ai--rentalot-mcp" alt="AgentRank"></a>

Embed Widget docs →

Embed a rich score widget on your site or blog.

<script src="https://agentrank-ai.com/embed.js" data-tool="Rentalot-ai/rentalot-mcp"></script>

Matched Queries

"mcp server""mcp-server"

From the README

# @rentalot/mcp-server

MCP server for the [Rentalot](https://rentalot.ai) API. Manage rental properties, contacts, showings, conversations, and more from any AI assistant.

## Setup

### Claude Code

```bash
claude mcp add rentalot -e RENTALOT_API_KEY=ra_your_key -- npx -y @rentalot/mcp-server
```

### Codex (OpenAI)

```bash
codex mcp add --env RENTALOT_API_KEY=ra_your_key -- npx -y @rentalot/mcp-server
```

### Gemini CLI

```bash
gemini mcp add --transport stdio rentalot -- npx -y @rentalot/mcp-server
```

Then add the env var to `~/.gemini/settings.json`:

```json
{
  "mcpServers": {
    "rentalot": {
      "command": "npx",
      "args": ["-y", "@rentalot/mcp-server"],
      "env": { "RENTALOT_API_KEY": "ra_your_key" }
    }
  }
}
```

### Claude Desktop / Cursor / Windsurf

All three use the same JSON format — just different file paths:

| Client | Config file |
|--------|-------------|
| Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) 
Read full README on GitHub →

Get the weekly AgentRank digest

Top movers, new tools, ecosystem insights — straight to your inbox.