# MCP Server

> Use this tool when you need to enable AI agents to query structured data using natural language, without requiring SQL or API knowledge, to solve problems such as data retrieval and analysis. It takes in natural-language questions as input and outputs relevant data, allowing for seamless interaction with structured data sources. This tool is ideal for use cases where ease of data access and querying is crucial, such as data analysis, reporting, and decision-making.

Canonical page: https://skillsregistry.net/skills/9kman-job-20260613144931-000091  
JSON: https://api.skillsregistry.net/v1/skills/9kman-job-20260613144931-000091

## Description

Enables natural-language querying of structured data via Model Context Protocol, allowing AI agents to answer questions without SQL or API knowledge.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ovvbb9fzn0)
- **Repository:** <https://github.com/9KMan/JOB-20260613144931-000091>

## 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": "9kman-job-20260613144931-000091"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/9kman-job-20260613144931-000091` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/9kman-job-20260613144931-000091/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