# Teradata SQL

> Use this tool when you need to execute SQL operations against large-scale Teradata Vantage databases, solving data analysis and management problems through query execution, schema browsing, and performance optimization. It accepts SQL queries and authentication credentials as inputs, producing query results and EXPLAIN plans as outputs. Ideal for use cases requiring robust database interactions, data warehousing, and business intelligence applications.

Canonical page: https://skillsregistry.net/skills/ksturgeon-td-teradata-sql  
JSON: https://api.skillsregistry.net/v1/skills/ksturgeon-td-teradata-sql

## Description

Provides SQL operations against Teradata Vantage databases including query execution, DDL/DML statements, schema browsing, and EXPLAIN plan analysis. Supports persistent connections with auto-reconnect, configurable authentication methods (LDAP, Kerberos, JWT), and a read-only safety mode. Includes a built-in Teradata SQL syntax reference as an MCP resource.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ksturgeon-td-teradata-sql)
- **Repository:** <https://github.com/ksturgeon-td/tdsql-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": "ksturgeon-td-teradata-sql"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ksturgeon-td-teradata-sql` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ksturgeon-td-teradata-sql/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