greptimedb-mcp-server and prometheus_mcp_server

greptimedb-mcp-server
51
Established
prometheus_mcp_server
40
Emerging
Maintenance 10/25
Adoption 7/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 17/25
Stars: 26
Forks: 13
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 34
Forks: 11
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About greptimedb-mcp-server

GreptimeTeam/greptimedb-mcp-server

A Model Context Protocol (MCP) server for GreptimeDB

This project acts as a bridge, allowing AI assistants to understand and interact with your GreptimeDB, an observability database. It takes natural language requests from an AI assistant and translates them into SQL or TQL queries to retrieve and analyze metrics, logs, and traces. Operations engineers, site reliability engineers, or data analysts who manage and monitor system performance can use this.

observability time-series-analysis log-management metrics-monitoring AI-assistant-integration

About prometheus_mcp_server

CaesarYangs/prometheus_mcp_server

A Model Context Protocol (MCP) server enabling LLMs to query, analyze, and interact with Prometheus databases through predefined routes.

This tool helps Site Reliability Engineers and DevOps professionals understand their system's health and performance by connecting Large Language Models (LLMs) to Prometheus databases. It allows LLMs to retrieve specific metrics, analyze data within custom time ranges, and explore usage patterns without needing to write complex PromQL queries manually. The output includes structured data and analyses from your Prometheus metrics.

Site Reliability Engineering DevOps System Monitoring Incident Response Performance Analysis

Scores updated daily from GitHub, PyPI, and npm data. How scores work