# Kinetica MCP Server

> Use this tool when you need to interact with large-scale databases, leverage SQL-GPT contexts, or monitor real-time data streams. It solves problems related to data management, analytics, and visualization by providing a centralized interface for accessing and manipulating data. The Kinetica MCP Server takes in SQL queries and monitoring requests as inputs and outputs data results and insights, making it ideal for use cases that require high-performance data processing and real-time decision-making.

Canonical page: https://skillsregistry.net/skills/kineticadb-mcp-kinetica  
JSON: https://api.skillsregistry.net/v1/skills/kineticadb-mcp-kinetica

## Description

Exposes tools and resources for interacting with Kinetica's database, SQL-GPT contexts, and real-time monitoring.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i5eswwh1b1)
- **Repository:** <https://github.com/kineticadb/mcp-kinetica>

## 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": "kineticadb-mcp-kinetica"
    }
  }
}
```

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