# fixragent-mcp

> fixragent-mcp — russ4102-fixragent-mcp. Use this tool when you need to identify and prioritize property maintenance issues from photos. It takes a property maintenance photo as input and outputs the type of issue, urgency level, and recommended trade to contact. Ideal for streamlining maintenance workflows and improving response times in facilities management and real estate industries.

Canonical page: https://skillsregistry.net/skills/russ4102-fixragent-mcp  
JSON: https://api.skillsregistry.net/v1/skills/russ4102-fixragent-mcp

## Description

MCP server for fixRAgent: send a property maintenance photo, get back what it is, how urgent it is, and which trade to call.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Russ4102/fixragent-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": "russ4102-fixragent-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/russ4102-fixragent-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/russ4102-fixragent-mcp/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