# Aiven MCP Server

> Use this tool when you need to integrate large language models (LLMs) with managed services like databases, messaging systems, and search engines. The Aiven MCP Server provides access to services such as PostgreSQL, Kafka, and OpenSearch, enabling the development of full-stack solutions. It accepts model requests and returns relevant data, making it ideal for building complex applications that require seamless interactions between LLMs and various data sources.

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

## Description

A Model Context Protocol server that provides access to Aiven's managed services (PostgreSQL, Kafka, ClickHouse, Valkey, OpenSearch) and connectors, enabling LLMs to build full stack solutions.

## Trust

- **Trust score (0–1):** 0.96
- **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/schxfqwxpd)
- **Repository:** <https://github.com/mikeysrecipes/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": "mikeysrecipes-mcp-aiven"
    }
  }
}
```

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