# Aiven MCP Server

> Use this tool when you need to integrate large language models (LLMs) with various data services, such as databases and messaging systems, to build full-stack solutions. The Aiven MCP Server provides a unified interface to access services like PostgreSQL, Kafka, and OpenSearch, enabling seamless interaction and data exchange. It solves problems related to data storage, processing, and retrieval, making it ideal for use cases that require LLMs to operate on diverse data sources.

Canonical page: https://skillsregistry.net/skills/aiven-open-mcp-aiven  
JSON: https://api.skillsregistry.net/v1/skills/aiven-open-mcp-aiven

## Description

A Model Context Protocol server that provides access to Aiven services (PostgreSQL, Kafka, ClickHouse, Valkey, OpenSearch), enabling LLMs to build full stack solutions by interacting with these services.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dd04hj1v78)
- **Repository:** <https://github.com/Aiven-Open/mcp-aiven>

## 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": "aiven-open-mcp-aiven"
    }
  }
}
```

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