Monitoring & Observability

Query and configure CheckMK monitoring: hosts, services, rules, downtimes, metrics

opchain is a set of interconnected Claude Code / MCP skills that form a software-development pipeline: concept → spec → design → build → ship → operate. Each skill is a SKILL.md the model reads and follows. You invoke a skill by name; skills read each other's checkpoints when you chain them, so con…

Data validation that discovers rules from your data so you don't have to write them

Policy-based governance for AI agent tool calls. YAML policy, approval gates, audit logging.

Run efficiency for coding agents: share of paid tokens that became output, not context re-reading.

Local profiler: which usage window took you out, and where your agent's money goes

An API-complete MCP server to manage Prometheus-compatible backends.

Manage Sable AI voice agents, query HyperDX logs and metrics, and deploy — all from your IDE

MCP server providing Prometheus metrics access and PromQL query execution for AI assistants

Turn-level governance observability for Claude Code transcripts. Local-first, no LLM inside.

A Model Context Protocol (MCP) server for Prometheus monitoring

Zero-config SQL flight recorder for slow Python/SQLAlchemy jobs: exact call site, count, and fix.

Non-invasive AI Agent monitoring — audit every API call to Shopify, Meta Ads, and more

MCP server for Sentry — error tracking, issues, releases, events, and projects for AI assistants.

AI-native MCU debugging and observability through probes, symbols, RTOS, logs, and build tools.

Open-source, self-hosted conversation QA for voice agents. MIT.

Verify what agents actually shipped, arbitrate file collisions, refuse with structured reasons.

Open eval leaderboard + CI gate for autonomous coding agents (solve, score, trace).

Security proxy that automatically wraps MCP servers with real-time monitoring and policy enforcement

Classifies GPU workloads as inference or training from telemetry alone via MCP tools.