# MCP Vertica

> Use this tool when you need to interact with Vertica databases through SQL queries, schema management, and bulk data operations, solving problems related to data analysis, reporting, and management. It accepts SQL queries and database credentials as inputs and returns query results and operation status as outputs. Ideal for use cases requiring secure and efficient data manipulation, such as data warehousing, business intelligence, and data science applications.

Canonical page: https://skillsregistry.net/skills/p2k3m-vertica  
JSON: https://api.skillsregistry.net/v1/skills/p2k3m-vertica

## Description

Enables interaction with Vertica databases through SQL queries, schema management, and bulk data operations. Supports connection pooling, SSL/TLS security, and configurable permissions for database operations.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **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:** [Glama](https://glama.ai/mcp/servers/ysnmcai0wh)
- **Repository:** <https://github.com/p2k3m/vertica>

## 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": "p2k3m-vertica"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/p2k3m-vertica` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/p2k3m-vertica/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