Model Context Protocol (MCP) server that exposes Aiven cloud services (PostgreSQL, Kafka, ClickHouse, Valkey, OpenSearch) to LLM agents through a small set of tools.
https://github.com/Aiven-Open/mcp-aivenBuilding AI agents that need to interact with your cloud infrastructure? You're probably bouncing between service dashboards and CLI tools just to get basic information your agents need. The Aiven MCP Server eliminates that friction by giving your LLM agents direct access to your Aiven cloud services through a clean, secure interface.
When you're building AI agents that make infrastructure decisions or provide operational insights, context switching kills productivity. Instead of manually gathering service information and feeding it to your AI assistant, this MCP server lets your agents query Aiven directly for real-time service data.
The old way: "Let me check the Aiven console... copy this service configuration... paste it into Claude... ask my question..."
With mcp-aiven: Your AI agent automatically pulls current service details, project configurations, and infrastructure state as part of its reasoning process.
The current toolset covers the essential discovery operations you need:
Infrastructure Monitoring Agents: Build agents that can autonomously check service health across multiple projects and provide intelligent recommendations based on current configurations.
Cost Optimization Workflows: Create agents that analyze service usage patterns across your Aiven projects and suggest rightsizing opportunities based on actual service configurations.
Automated Documentation: Let your agents generate up-to-date infrastructure documentation by pulling live service details and generating markdown reports.
Troubleshooting Assistants: When issues arise, your agents can immediately pull service configurations and recent changes to provide context-aware debugging assistance.
Aiven built this with production security in mind. Your agents authenticate using standard Aiven API tokens with granular permissions - no special credentials or backdoors. The MCP server runs in your environment, so sensitive service details never leave your control.
The principle of least privilege applies: scope your API tokens to exactly what your agents need to know, nothing more.
Works immediately with Claude Desktop and Cursor - just add the configuration to your MCP servers and provide your Aiven API token. The server handles all the API communication complexity while your agents get clean, structured data.
For custom integrations, the MCP protocol ensures compatibility with any MCP-aware system you're building.
This MCP server transforms how your AI agents interact with your Aiven infrastructure. Instead of being limited to generic advice, your agents can make informed decisions based on your actual service configurations and project structure.
Clone the repository, configure your API token, and start building agents that understand your infrastructure as well as you do.