Server detail
Managing Percona PostgreSQL clusters in Kubernetes often involves a high cognitive load, juggling connection pooling via PgBouncer, Point-in-Time Recovery (PITR), and disaster recovery workflows. The mcp-percona-pg tool bridges the gap between LLM-driven orchestration and complex database operations. Instead of manually executing kubectl commands or navigating complex operator manifests, you can use this MCP server to delegate database tuning, backup management, and pool configuration directly through your AI coding assistant. It provides a standardized interface to interact with your Percona instances, making it particularly useful for SREs and backend engineers who want to automate routine maintenance or troubleshoot connectivity issues using natural language. Unlike generic database tools, this is purpose-built for the Percona ecosystem on K8s, ensuring that operations like scaling or recovery follow best practices by default.
An MCP server that exposes mcp-percona-pg capabilities to MCP-compatible AI clients.
Collections featuring this MCP
Tool testing
mcp-percona-pg
Call the MCP capabilities provided by mcp-percona-pg and return a structured result.
inputPass arguments according to the server tool schema.Connection modes
{
"mcpServers": {
"mcp-percona-pg": {
"url": "Generated by the provider after deployment"
}
}
}The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.
No npm package is recorded. Open the source repository to complete command and args.If no npm package is registered, follow the installation method in the source repository.
How to use
- 01Step 1
Review server capabilities and permission scope.
- 02Step 2
Copy the install command or JSON configuration.
- 03Step 3
Run a small connection test in your client.
- 04Step 4
Adopt it long term only after reviewing access and maintenance.
Discussions
Use this space to keep checking source information, usage experience and maintenance status.
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