"A guide to technical report writing" matching MCP servers:

MCP server that allows searching a local notes directory and retrieving live CPU and memory usage.

An MCP server that monitors and provides analytics on weekly report submissions in a Google Sheet, allowing users to check missing submissions, view statistics, and track individual reporting status.

Enables querying real-user Core Web Vitals field measurements — 75th-percentile LCP, INP, and CLS with distributions and ~40 weeks of history — for any origin or page that has enough Chrome traffic.

An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.

Enables AI agents to monitor Docker containers, system resources, ports, and logs in real-time.

Enables recurring website maintenance checks — domain registration, SSL certificates, uptime, technical SEO and accessibility — across a portfolio of client sites, using publicly available information. Results are returned as structured data and can be sorted by urgency into a client-ready report.

Enables AI agents to self-report bugs, ambiguities, and improvement requests via a single report_issue tool, logging to PostgreSQL or JSONL with severity and mode classification.

Enables analysis of JVM thread dumps to detect deadlocks, CPU spikes, pool exhaustion, and virtual thread pinning, returning a health score and interactive report link.

Connects to MES systems for SOP file upload and abnormal report querying via WorkBuddy.

MCP Server for notify to telegram / weixin

Enables LLMs to directly query a Matomo analytics instance, execute reporting methods, fetch historical trends, report metadata, and dynamically generated chart images through typed MCP tools.

Read-only MCP server for TrueNAS Scale debugging, providing k3s tools for kubectl operations and whitelisted midclt calls for system info, apps, and pools.

Enables MCP clients to triage SOC alerts while enforcing a trust firewall across retrieval, memory, and privileged actions. It exposes tools for alerts, logs, memory, and alert actions, with defenses that refuse risky operations in the presence of attacker-controllable content.

Reads a GitHub repository's own workflow and scheduled-run history to report runs that were late, never happened, failed, or succeeded without doing anything, plus schedules GitHub has disabled and the 60-day inactivity countdown. It is read-only, uses the caller's own GitHub token, and returns a JSON report usable by an agent to verify that scheduled workflows actually ran when they should have.

Enables AI agents to self-report every tool call, token usage, decision, and session grade into a local SQLite store, so users can trace execution, audit reasoning, and see per-session costs in a local dashboard. Also supports proxy mode to intercept and trace MCP tool invocations for agents that cannot self-report.

SEO MCP connects AI assistants to Search Console, technical SEO audits, crawl insights, Core Web Vitals, and uptime data.

Merges your Google Search Console data with a live crawl of your site to run a comprehensive technical SEO audit inside Claude, providing prioritized findings and paste-ready fixes.

Exposes Enji Guard access and compact report metadata to local tools via an MCP server.

Provides authenticated read-only access to VMware Cloud Foundation Operations inventory, metrics, alerts, report definitions, targets, and skills via Streamable HTTP, with a durable audit trail and an admin UI.

Automates three core workflows for Sangfor Engineer: project all-in-one (Excel to guide to validation to report), equipment health check, and Obsidian wiki integration.