# Databricks Custom MCP Server

> Use this tool when you need to integrate large language models (LLMs) with financial data and analytics, enabling retrieval of Tokyo Stock Exchange stock information and execution of SQL queries on Databricks SQL warehouses. It solves problems related to data access and querying for LLMs, providing a customized interface for seamless interaction. The tool accepts SQL queries and stock information requests as inputs and returns relevant data as outputs, ideal for use cases requiring real-time financial data analysis and processing.

Canonical page: https://skillsregistry.net/skills/taka-yayoi-custom-mcp  
JSON: https://api.skillsregistry.net/v1/skills/taka-yayoi-custom-mcp

## Description

Enables LLMs to retrieve Tokyo Stock Exchange stock information and execute SQL queries on Databricks SQL warehouses, deployed as a Databricks App.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/msab0gnul9)
- **Repository:** <https://github.com/taka-yayoi/custom_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": "taka-yayoi-custom-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/taka-yayoi-custom-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/taka-yayoi-custom-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