# Vertica MCP Server

> Use this tool when you need to query and explore large datasets in Vertica databases using natural language, with readonly protection to prevent data modification. It solves problems related to data discovery, SQL execution, and large dataset streaming, providing insights through Vertica-specific optimizations. Ideal for AI agents requiring secure and efficient data exploration and analysis.

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

## Description

Enables AI assistants to query and explore Vertica databases through natural language with readonly protection by default. Supports SQL execution, schema discovery, large dataset streaming, and Vertica-specific optimizations like projection awareness.

## Trust

- **Trust score (0–1):** 0.91
- **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/ix2cnn9g8j)
- **Repository:** <https://github.com/hechtcarmel/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": "hechtcarmel-vertica-mcp"
    }
  }
}
```

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