"Generating PowerPoint slides from Power BI datasets in folders" matching MCP servers:

A read-only MCP server that reports BI pipeline readiness, blockers, and the next allowed action for governed Power BI workflows. It never writes files, executes warehouse work, or grants human approvals.

Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.

Enables state-aware Terraform/OpenTofu plan evaluation against live AWS topology and CloudWatch telemetry, detecting reliability blast radius and FinOps waste before merge.

An AI-powered Power BI dataset health monitor that connects Claude to a simulated Power BI tenant for running health checks, diagnosing failures, and prioritizing fixes.

Enables AI assistants to safely manage Pterodactyl game servers, covering status, console, files, backups, and power operations with built-in guardrails.

MCP server and CLI for IBM HMC REST API, enabling AI agents to inventory Power systems, manage LPARs/VIOS, and submit jobs like power on/off, with tools for adapters, storage, networking, and more.

Enables data observability operations with the Sifflet platform. Supports exploring assets, monitors, incidents, generating monitor-as-code YAML from descriptions, and performing impact analysis.

Enables local-first observability for MCP agent workflows by recording tool calls, prompts, latency, and token usage in a local SQLite database, and provides tools for inspecting, comparing, exporting, and generating dashboards from traces.

Enables querying a live Satisfactory game through Ficsit Remote Monitoring to answer questions about production, power, logistics, and factory health.

MCP server for Grafana enabling management of dashboards, datasources, alert rules, folders, and annotations via stdio.

Enables interaction with Neptune Apex aquarium controllers through their local REST API, providing read-only monitoring of probes, outlets, power, inputs, and history by default, with opt-in write tools for outlet control, feed cycles, and guarded program edits.

Enables AI agents to query the Domotz Public API for network monitoring data — collectors, devices, uptime and state history, inventory, monitored variables and SNMP sensors, topology, IP conflicts and alert profiles — and, on explicit confirmation, switch or power-cycle smart power outlets.

Enables AI agents and MCP clients to query and debug traces, sessions, observations, and exceptions, plus access prompts, datasets, annotation queues, scores, and metrics from a local server.

Enables AI agents to manage VMware vSphere virtual infrastructure through comprehensive operations including VM power control, snapshot management, resource monitoring, performance analytics, and bulk operations with built-in safety confirmations for destructive actions.

Enables read-only total-pressure observation and safe, operator-bound control of a dispenser power supply, with deterministic safety limits and fail-closed protections.

Enables querying admin sign-in data from resume.naplab.org, such as last sign-in and sign-in counts, via natural language.

Enables querying logs and metrics with plain SQL from any MCP client via pooml's read-only query API.

Enables classification of GPU workloads as training, inference, or idle from telemetry data, with tools for one-shot classification, benchmarking, and audit log verification.

Model Context Protocol (MCP) server for debugging, analyzing, and diagnosing Kubernetes clusters directly from AI agents.

Provides read-only access to daily trading figures for multi-site restaurant groups, detecting anomalies in control blocks such as void rates and labor percentages to uncover subtle financial leaks.