# Property MCP Server

> Property MCP Server — digitsouler-property-mcp-server. Use this tool when you need to integrate AI assistants with property management systems, enabling natural language control over tasks like repair orders, owner information, and payments. It solves problems related to automating property management workflows, improving efficiency and reducing manual labor. The tool accepts natural language inputs and provides outputs in the form of executed actions and system updates, ideal for use cases where human-in-the-loop oversight is required.

Canonical page: https://skillsregistry.net/skills/digitsouler-property-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/digitsouler-property-mcp-server

## Description

Enables AI assistants to operate property management systems via natural language, covering repair orders, owner info, payments, notices, and inspections. Features a full agentic workflow with human-in-the-loop and observability.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mkhwlj7yjk)
- **Repository:** <https://github.com/digitsouler/property-mcp-server>

## 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": "digitsouler-property-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/digitsouler-property-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/digitsouler-property-mcp-server/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