# Database Query

> Use this tool when you need to access and query multiple database systems using natural language, solving data analysis and business intelligence problems by providing direct database access with configurable query execution and metadata extraction. It accepts SQL queries and database connection parameters as inputs and returns query results, table metadata, and database resource information as outputs. Use it in contexts where AI-driven database exploration and conversational data access can enhance productivity, such as data analysis workflows, business intelligence applications, and development environments.

Canonical page: https://skillsregistry.net/skills/skanga-database-query  
JSON: https://api.skillsregistry.net/v1/skills/skanga-database-query

## Description

This MCP server provides AI assistants with direct database access and querying capabilities across multiple database systems, built using Java with HikariCP connection pooling and comprehensive JDBC driver support. The implementation offers SQL query execution with configurable row limits and timeouts, database resource discovery including tables, views, and schemas with metadata extraction, and multi-database support spanning H2, PostgreSQL, MySQL, Oracle, SQL Server, and cloud analytics platforms like Snowflake and BigQuery through Maven profile-based driver packaging. Built with connection pooling, security controls including read-only modes and SQL length limits, both stdio and HTTP operation modes, and extensive test coverage with real database integration testing, it serves data analysis workflows requiring natural language database querying, business intelligence applications needing conversational data access, and development environments where AI-driven database exploration enhances productivity without direct SQL knowledge.

## Trust

- **Trust score (0–1):** 0.29
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/skanga-database-query)
- **Repository:** <https://github.com/skanga/dbchat>

## 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": "skanga-database-query"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/skanga-database-query` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/skanga-database-query/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