mcp-trino and mcp-victoriametrics
Both tools are independent Model Context Protocol (MCP) server implementations, each tailored for a different data platform (Trino and VictoriaMetrics, respectively), making them ecosystem siblings serving distinct but related needs within the MCP ecosystem rather than direct competitors or complements.
About mcp-trino
tuannvm/mcp-trino
A high-performance Model Context Protocol (MCP) server for Trino implemented in Go.
This project helps AI assistants connect directly to Trino, a powerful distributed SQL query engine. It takes requests from AI tools like Claude or Cursor and translates them into SQL queries that Trino can execute across various data sources (like PostgreSQL, S3, or BigQuery). Data analysts, data scientists, and anyone using AI tools to explore large datasets can use this to get immediate insights from their data warehouses without manual querying.
About mcp-victoriametrics
VictoriaMetrics/mcp-victoriametrics
The implementation of Model Context Protocol (MCP) server for VictoriaMetrics
This tool helps Site Reliability Engineers and DevOps professionals more easily manage, monitor, and troubleshoot their VictoriaMetrics deployments. It acts as a bridge, allowing various client applications to access VictoriaMetrics data and APIs. You input queries or requests for metrics and configurations, and it outputs organized monitoring data, query explanations, and operational insights.
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