"Deep research on Gemini" matching MCP servers:

MCP server for On-Call Health burnout analysis. Connects AI assistants to your on-call data for workload insights.

Provides read-only on-demand ServiceNow reports for system logs (syslog) and developer work (update set changes), with automatic pagination and date filtering.

Connect AI agents like Claude, Cursor, and Gemini to historical Windows performance and privacy data gathered by the AppControl Windows app. This server enables natural language queries into CPU, GPU, and temperature history alongside system security events for deep local auditing.

A trademark research and monitoring MCP server that provides access to a normalized trademark corpus across 30+ registers, with provenance on every record, watch/monitoring capabilities, conflict research via Nice class, and portfolio management tools—without returning legal verdicts, leaving availability judgments to qualified professionals.

Bridges Microsoft Clarity's analytics API with Claude, enabling custom date ranges and page-level filtering on top of Clarity's native limitations.

Enables interaction with Jira Service Management Operations alerts and on-call schedules, including searching alerts, reading notes and activity logs, acknowledging, closing, annotating, adding responders, and querying current and next on-call rotations.

DBeast MCP is a robust, security-first Model Context Protocol server designed to empower AI coding assistants (like Claude Desktop) with deep PostgreSQL database insights. Instead of just running basic SQL queries, DBeast equips your AI agent with tools to inspect active locks, audit slow queries, analyze table schemas, and safely generate index recommendations in real-time. Built specifically for

A lightweight npm MCP server for deep Redis diagnostics, offering tools for memory, slowlog, clients, keyspace, latency, and config analysis with AI-powered recommendations.

An on-call agent for data incidents, built on a bio-inspired context protocol. It triages data quality and freshness issues using DataHub, computing severity, blast radius, and ownership from the catalogue before generating prose.

FastMCP server that pages on-call via 100+ notification channels (WhatsApp, Telegram, Slack, etc.) built on Apprise, with credential redaction and channel filtering.

Track brand visibility across ChatGPT, Perplexity, Claude, and Gemini.

Supply chain risk scoring for npm, PyPI, and GitHub repos

MCP server that gives AI assistants live access to Google Search Console and Bing Webmaster Tools for search performance, indexing, keyword research, and crawl health analysis directly in the chat.

Enables brand visibility monitoring across major AI platforms like ChatGPT, Claude, Gemini, and Perplexity. It allows users to track visibility scores, analyze competitor data, and receive actionable insights to improve AI-generated brand recommendations.

Unified MCP server for DeepAgentLabs that exposes workflow profiling, analysis, and chaos experiment tools through a single interface.

Enables querying Furiosa dashboard benchmark data and generating deep-link URLs to viewer pages such as commit comparisons, IR text, tactic debug, and TC viewer through MCP tools.

Expert system hardware probe and performance diagnostic engine for AI, Gaming, and High-Performance workflows. Provides deep system insights such as real-time monitoring, thermal diagnostics, and LLM optimization.

BetterDB gives Claude Code, Cursor, Windsurf, and other MCP clients deep observability into Valkey and Redis instances. It implements 22 MCP tools including get_health, get_slowlog, get_commandlog, get_hot_keys, get_anomalies, get_cluster_nodes, get_cluster_slowlog, and get_slot_stats.

Enables real-time monitoring of Cursor Pro usage limits and API quotas across different AI services. Tracks Sonnet 4.5, Gemini, and GPT-5 request usage with alerts when approaching subscription limits.

Enables management and monitoring of farm operations including field and crop tracking, livestock monitoring, equipment management, and sensor readings through a Model Context Protocol interface built with FastMCP.