Prometheus is an open-source systems monitoring and alerting toolkit. It collects and stores metrics as time series data, with flexible queries and real-time alerting.
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
Last updated
2
10
930
Apache 2.0
Why this server?
Allows querying Prometheus metrics via prometheusQuery* table functions.
An MCP server for chDB, the in-process SQL OLAP engine powered by ClickHouse. Lets agents query Parquet, CSV, JSON, and pandas DataFrames with one tool — no separate server, no Docker.
Last updated
7
Apache 2.0
Why this server?
Enables querying metrics from Prometheus using PromQL, with pre-computed summary statistics, and supports cross-signal anomaly detection and health scoring when combined with log sources.
Unified observability gateway for AI agents — one MCP server for Prometheus, Loki, and any backend.
Last updated
2
11
5
MIT
Why this server?
Generates a complete observability stack including Prometheus metrics collection and configuration for monitoring OpenSIPS, with provisioning and a docker-compose setup.
AI-powered control plane for OpenSIPS SIP servers, enabling natural-language operations and CLI-based management for configuration, migration, monitoring, and diagnostics.
Last updated
100
8
Apache 2.0
Why this server?
Enables execution of PromQL queries, retrieval of metric metadata, and exploration of metric names, labels, and their values from Prometheus data sources within Grafana.
Enables AI assistants to interact with Grafana dashboards, datasources, alerts, incidents, and monitoring data through 43 comprehensive tools. Supports querying Prometheus metrics, Loki logs, managing incidents, and dashboard operations with full authentication support.
Last updated
43
2,715
2
MIT
Why this server?
Allows for interacting with Prometheus metrics and data, providing capabilities for running instant and range PromQL queries, discovering series and labels, accessing metric metadata, and monitoring alerts and system status.
A TypeScript-based MCP server that enables users to interact with Prometheus metrics using PromQL queries and discovery tools. It allows LLMs to retrieve time-series data, metadata, alerts, and system status directly from a Prometheus instance.
Last updated
10
320
1
MIT
Why this server?
Provides tools for querying Prometheus metrics with PromQL, listing available metric names, inspecting active alerts, and exploring scrape targets.
MCP server for Prometheus metrics and observability. Give Claude (or any MCP-capable agent) read access to your Prometheus instance — query metrics with PromQL, inspect active alerts,
and explore scrape targets without leaving the conversation.
Tools: prometheus_list_metrics, prometheus_query, prometheus_query_range, prometheus_list_alerts, prometheus_list_targets.
Last updated
5
MIT
Why this server?
Enables monitoring of the MCP server using Prometheus-compatible clients.
A proof-of-concept Prometheus MCP server, which likely enables Claude AI to interact with Prometheus monitoring systems through the Model Context Protocol.
