# AssetLog

> AssetLog — ai-assetlog-assetlog. Use this tool when you need to efficiently search and manage various listings, including vehicles, real estate, jobs, and CVs, to streamline your asset tracking and discovery process. It solves problems related to information overload and disorganization by providing a centralized platform for browsing and managing listings. With inputs such as search queries and filters, and outputs like curated lists and favorites, AssetLog is ideal for use cases where quick access to categorized information is crucial.

Canonical page: https://skillsregistry.net/skills/ai-assetlog-assetlog  
JSON: https://api.skillsregistry.net/v1/skills/ai-assetlog-assetlog

## Description

Search vehicles, real estate and jobs; manage your listings, alerts, enquiries and viewings.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.assetlog%2Fassetlog)

## Use it

MCP endpoint published by the skill: `https://api.assetlog.ai/mcp`

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": "ai-assetlog-assetlog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-assetlog-assetlog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-assetlog-assetlog/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