# Real Estate Data Manager

> Use this tool when you need to manage and analyze real estate data, such as property listings, agent profiles, and market trends, to solve problems like client-property matching and market analysis. It provides comprehensive tools and structured resources for real estate workflows, accepting inputs like property search queries and client preferences, and outputting relevant data and insights. Ideal for applications like AI training datasets, CRM systems, and market analysis tools that require realistic and cross-referenced property data.

Canonical page: https://skillsregistry.net/skills/agentic-ops-real-estate  
JSON: https://api.skillsregistry.net/v1/skills/agentic-ops-real-estate

## Description

This MCP server provides a complete real estate data management system with mock property listings, agent profiles, client databases, market analytics, and local amenities data for Riverside, California. Built with FastMCP, it offers comprehensive tools for property search and filtering, client-property matching, market analysis, agent performance tracking, and area comparisons, along with structured resources and prompt templates for real estate workflows. The implementation is designed for real estate applications, AI training datasets, market analysis tools, and CRM systems that need realistic property data with full cross-referencing between properties, agents, clients, and market conditions.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/agentic-ops-real-estate)
- **Repository:** <https://github.com/agentic-ops/real-estate-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "agentic-ops-real-estate"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agentic-ops-real-estate` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agentic-ops-real-estate/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt