"PDF" matching MCP servers:

Provides a read-only MCP interface for Azure Data Factory monitoring and root-cause analysis, with a health check for MCP clients.

Provides read-only monitoring, inspection, and root-cause analysis of Azure Data Factory resources, including factories, pipelines, and pipeline runs, through MCP tools.

Official initMAX MCP server exposing the Zabbix API to AI assistants for monitoring and managing hosts, problems, templates, dashboards, and multiple Zabbix instances. Includes correlated monitoring views, graphs, anomaly detection, capacity forecasts, and PDF reports, with scoped tokens, read-only modes, OAuth 2.1, and an admin portal. Supports Streamable HTTP, SSE, and stdio.

Exposes SEO and AI-readability audit tools to AI agents, enabling one-shot anonymous audits or full authenticated audits with PDF reports and organic traffic data.

Enables AI assistants to analyze Azure Data Factory costs, detect waste, and provide optimization recommendations by querying pipeline run metadata and Azure pricing.

Enables agents to capture ESP-IDF device serial output, wait for ordered expectations, detect crashes, decode Xtensa and RISC-V backtraces, and inspect core dumps after firmware flashing, closing the runtime feedback loop.

Exposes the entire Zabbix API as MCP tools so AI assistants and other MCP clients can query hosts, inspect problems, manage templates and dashboards, acknowledge events, and perform other Zabbix operations. It also adds pre-correlated summary views, graph rendering, anomaly detection and forecasting, PDF report generation, and a two-step write approval flow, with multi-server, token-scoped and read-only deployment options.

Enables read-only monitoring and root-cause analysis of Azure Data Factory resources through MCP, allowing users to inspect factories, pipelines, and pipeline runs and diagnose failures via natural language.