# io.github.willorn/mcp-yashan

> Use this tool when you need to query YashanDB using natural language, enabling AI assistants to retrieve data through SQL operations. It solves problems of complex database querying by providing a simple and intuitive interface for retrieving data. Ideal for use cases where natural language input is preferred over traditional SQL syntax, with inputs of natural language queries and outputs of relevant data from YashanDB.

Canonical page: https://skillsregistry.net/skills/willorn-mcp-yashan  
JSON: https://api.skillsregistry.net/v1/skills/willorn-mcp-yashan

## Description

Enables AI assistants to query YashanDB using natural language through SQL operations.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/otf1hyulju)
- **Repository:** <https://github.com/willorn/mcp-yashan>

## 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": "willorn-mcp-yashan"
    }
  }
}
```

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