# Klaaro

> Klaaro — ai-klaaro-klaaro. Use this tool when you need to query and retrieve specific data from various datasets, documents, and extracted records across multiple agents. Klaaro solves problems related to data discovery, retrieval, and integration, providing a unified interface to access diverse data sources. It takes query inputs and returns relevant data outputs, making it ideal for use cases that require data aggregation, analysis, or reporting.

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

## Description

Query Klaaro datasets, documents, and extracted records from any agent.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.15.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-03

## Source

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

## Use it

MCP endpoint published by the skill: `https://klaaro.ai/api/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-klaaro-klaaro"
    }
  }
}
```

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