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.
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.
100
10
Apache 2.0
Why this server?
Exposes detection pipeline metrics in Prometheus format for monitoring and alerting.
RSigma is a Rust detection-engineering toolkit for the Sigma standard. Its MCP server (rsigma mcp serve) exposes the toolchain to AI agents over stdio or Streamable HTTP, with tools to author, lint, validate, and convert Sigma rules, evaluate and explain detections against log events, and inspect correlation state.
15
14
135
MIT
Why this server?
Provides a tool to retrieve BlazingCDN metrics in Prometheus format, enabling monitoring and alerting with Prometheus.
Official MCP server for BlazingCDN - AI agents (Claude, Cursor, Windsurf) manage CDN resources, purge cache, query metrics, domains, Cloud Storage and Video CDN
29
171
2
MIT
Why this server?
Integrates with Prometheus for monitoring fleet conservation balance, convergence metrics, and agent status metrics.
Enables Claude Code to query and control the SuperInstance fleet, including fleet status, conservation law checks, semantic search, and agent registry.
8
12
MIT
Why this server?
Enables metrics management and querying through support for Prometheus remote_write/read and PromQL.
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.
10
1,111
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.
7
Apache 2.0
Why this server?
Exposes a /metrics endpoint with Prometheus metrics for observability, including tool call counts and durations.
A production-grade Model Context Protocol server for PostgreSQL. Lets AI agents safely inspect, query, operate, and tune a Postgres database — over 100 tools spanning catalog introspection, query intelligence, natural-language SQL, structural diffs, hybrid search, graph queries, data movement, live ops, and more.
12
186
9
MIT
Why this server?
Exports metrics in Prometheus format for monitoring operations, performance, and health of the math MCP server.
Provides secure mathematical computation capabilities including expression evaluation, symbolic math (derivatives, simplification), matrix operations, statistics, and unit conversion, with multi-tier acceleration through WebAssembly and WebWorkers for high-performance calculations.
7
181
ISC
Why this server?
Planned future support for exporting metrics to Prometheus as part of enterprise features
