"Target" matching MCP servers:

Provides read-only network diagnostics for a target host, including DNS, TLS, HTTP, and registry data.

Executes constrained, read-only Prometheus queries for instant metrics, active alerts, and target health, with bounded resource usage and audit records.

MCP server that lets LLMs interact with a running Prometheus instance via its API, enabling metric analysis, PromQL queries, and rule/target inspection. It also provides embedded documentation and guided runbooks for common Prometheus tasks.

Enables non-halting live-attach debugging of Cortex-M targets via pyOCD, providing DWARF-based variable resolution, symbol lookup, memory reads, register snapshots, and more without resetting or halting the target.

SLA observation broker for the A2A network: agents register public health endpoints with target uptime and latency, and the shim probes them to record breaches.

A multi-target MCP server that gives AI clients read and, when permitted, write access to Ignition 8.3 gateways across configuration, project exports, live runtime values, and an offline Ignition reference corpus. It enables browsing, explaining, diagnosing, and gated changes to gateway configuration, projects, tags, and live values through 81 tools with per-target credentials and write policies.

Enables Claude Desktop to trigger Ansible-driven log scans across an inventory group and retrieve combined results from target hosts.

MCP server exposing rlg (RustLogs) log files as tools for on-call / SRE agent workflows. Three tools over JSON-RPC stdio — tail_log (last N events, filtered by level/target), filter_log (predicate filtering), summarize_errors (grouped error taxonomy). Pure Rust. MIT OR Apache-2.0.

Governed Prometheus + Grafana operations — firing-alert and scrape-target RCA, alert noise/flapping analysis, silences, and dashboards, with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

AgentVision is a debug flight recorder MCP server that watches a target program, captures its window and logs, and exposes time-aligned, verified evidence through 90 MCP tools so AI agents can debug running programs without hallucinating.