"How to retrieve data from Power BI" matching MCP servers:

Read-only MCP server for querying ClickHouse (product telemetry) and Elasticsearch (download analytics), built for Percona VISTA.

MCP server that unifies real-time telemetry from industrial systems into a single queryable interface, enabling production visibility, anomaly detection, and operational insights.

Enables MCP hosts like ChatGPT and Claude to query data platform metadata, explore schemas and tables, inspect SQL explain plans, and monitor DAG and ETL status through standardized tools.

Enables Claude Code to query fleet telemetry data for device health summaries, anomaly detection, capacity breach forecasts, and incident history via narrow MCP tools.

Enforces identity-based access control and audit logging for MCP servers, letting you grant fine-grained tool permissions to users and systems while failing secure by default.

Fetches Langfuse observability traces directly into a VS Code coding agent's context, enabling querying and viewing trace data through natural language.

Provides an MCP-native operational interface for diagnostics, explainability, regression checks, and operational memory on data-system internals like PostgreSQL and Databricks toy engines.

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 clients to automatically investigate dbt test failures, trace root cause through BigQuery lineage, and generate plain-English incident reports.

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

A Model Context Protocol server that enables LLMs to retrieve and analyze OpenTelemetry traces and metrics from Logfire, supporting exception tracking and custom SQL queries against telemetry data.

Ask your AI agent about your MCP servers: which tools fail, how a release compares, what clients look for and do not find. Reads from mcpspan with a read token.

Provides MCP tools that expose runtime-proven data lineage verdicts from Polygraph, allowing agents to verify declared catalog lineage, detect undeclared sources and phantom edges, and retrieve incident reports.

Provides tools to query and calculate AWS EBS performance metrics from CloudWatch, including IOPS, throughput, and latency. It also enables users to manage snapshots and retrieve advanced diagnostic data like I/O utilization and burst balance.

Exposes system telemetry tools to retrieve CPU, memory, disk, battery, network, process, and GPU metrics from a local machine.

Enables AI agents to manage Stape.io infrastructure, including container management, custom domains, power-ups, request logs, and Stape Store NoSQL database operations.

A Model Context Protocol server that lets AI assistants interact with the Sentry API to retrieve and analyze error data, manage projects, and monitor application performance.

Enables AI assistants to manage Stape.io sGTM containers, CAPI Gateways, custom domains, and power-ups via 10 tools.

Enables querying macOS Screen Time data to retrieve app usage, hourly breakdown, and custom SQL queries through MCP.

A TypeScript-based MCP server that enables users to interact with Prometheus metrics using PromQL queries and discovery tools. It allows LLMs to retrieve time-series data, metadata, alerts, and system status directly from a Prometheus instance.

Enables grading a website's security headers with per-gap fixes and a README badge, and analyzing logs, code, configs or suspicious messages to determine what happened, how severe it is, and what to fix first. Requests are masked for sensitive data and automatically retried across multiple AI providers when one refuses, subject to a defensive-use-only policy.

Enables AI assistants to retrieve and analyze Sentry issues, including error reports, stacktraces, and debugging information from Sentry.io.

Enables administering VMware ESXi or vCenter hosts through MCP clients, exposing tools to authenticate, list, create, clone, power on and off, and delete virtual machines, and to retrieve VM performance statistics. Supports both native SSE and Streamable HTTP transports for integration with current MCP clients.

An MCP server that enables AI agents to query real-time NVIDIA GPU metrics like utilization, memory, temperature, and power without external monitoring tools.

A CLI wrapper that monitors and captures output from any running command and exposes it as an MCP server, providing tools to retrieve and search logs.

Enables interaction with N-able RMM (N-sight) API to manage clients, sites, devices, and retrieve monitoring data such as checks, patches, and performance history.

Enables MCP clients such as Claude to check current uptime status, inspect monitors and incidents, trigger fresh checks, and retrieve status summaries from a self-hosted monitoring service.

Exposes server-management and operational data to MCP-aware clients and AI agents, providing tools to search servers, fetch metrics and system stats, and create or retrieve alerts.

MCP server for querying structured logs from Datalust Seq, providing tools to search logs, retrieve recent errors, fetch events, and check health.

Analyzes how search engines and AI systems discover, crawl, cite, and convert traffic via CLI and MCP tools.

Enables MCP clients to retrieve bounded, normalized systemd crash evidence from coredump and journal metadata, with fixed time, row, line, and byte budgets and redaction of sensitive credentials.

Read-only MCP server for TraceFact that lets agents list trace runs, fetch run details, and retrieve reliability reports from a local store.

Enables agents to run internet speed and latency tests, and retrieve historical network quality summaries from a local JSONL store, all via simple MCP tools.

Provides governed MCP tools for querying optionally restricted Microsoft Sentinel/Log Analytics tables and optional Defender XDR hunting data, retrieving incidents and entities, and—for agent identities only—adding attributed incident comments, with Entra ID authentication, KQL validation, rate limits, and redacted audit logging.

Enables AI agents to manage Dell PowerEdge servers via Dell OpenManage Enterprise (OME) REST API, providing tools for device inventory, power control, firmware updates, alert management, and compliance baselines.

Enables management of oVirt / Red Hat Virtualization environments via AI assistants, supporting VM lifecycle, power operations, snapshots, and infrastructure queries.

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

Enables Managed Agent sessions to retrieve provider-specific alarms, metrics, and logs through MCP tools, supporting mock and AWS-backed monitoring data.

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

An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.