# Vertica MCP Server

> Use this tool when you need to interact with Vertica Analytics Databases using natural language, enabling AI assistants to query, explore schemas, and optimize performance. It solves problems related to data analysis and visualization, providing enterprise-grade features like secure connections and fine-grained permissions. The tool accepts natural language inputs and outputs query results, making it ideal for use cases requiring efficient and secure data interaction.

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

## Description

Enables AI assistants to interact with Vertica Analytics Databases for querying, schema exploration, and performance optimization through natural language. It provides enterprise-grade features like fine-grained permissions, query streaming, and secure SSL/TLS connections.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-17

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i0zggfiorw)
- **Repository:** <https://github.com/zaboura/vertica-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": "zaboura-vertica-mcp"
    }
  }
}
```

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

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