"AMD" matching MCP servers:

Read-only AMD GPU monitoring for Claude on Linux — VRAM, temperature, clocks, power, and running ML processes via rocm-smi.

MCP server for AI agent observability, providing trace and span logging, search, latency/tokens/cost metrics, and anomaly detection using an in-memory buffer.

Enables measuring the cost of completed agent workflows from runtime session logs and submitting results to the AMI survey.

Local-first dashboard + MCP server that parses Claude Code and Codex JSONL files into a SQLite cost / token tracker. Per-MCP and per-tool breakdown, session drill-down, dedup by request_id; never talks to vendor APIs

Read-only MCP server for Kafka cluster health, consumer lag, partition state, and replay-readiness, enabling AI agents to diagnose streaming incidents without write access.

A comprehensive Model Context Protocol (MCP) server for New Relic monitoring, observability, and management operations.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Enables precise measurement of live HTTP and WebSocket services while maintaining an append-only, evidence-based ledger of claims that agents can query with explicit timestamps, staleness indicators, and instructions for re-verification.

Enables ChatGPT to safely inspect bounded Windows diagnostic evidence and verify system changes through deterministic before/after snapshots.

MCP servers for real-time development monitoring and interactive pair programming.

A production-oriented reliability, benchmarking, and evaluation system that layers multi-version protocol negotiation, adaptive streaming, connection pooling, and resilience onto an MCP agent runtime.

Enables AI agents to perform root cause analysis on SAP systems by querying Azure Log Analytics data, offering schema discovery, validated KQL execution, result analysis, and automated 8-step RCA workflows.