"Searching for information using Google or a similar platform" matching MCP servers:

A read-only MCP server that enables AI agents to act as GCP platform engineers, allowing them to investigate incidents, take inventory, and find cost-optimization opportunities in Google Cloud projects without mutating any infrastructure.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Demonstrates agent-native platform onboarding with human-in-the-loop API key provisioning, plus live usage and rate-limit queries via Anthropic Admin APIs.

Read-only MCP server that exposes Kubernetes platform state (tenants, pods, SLOs, ArgoCD applications, chaos schedules, and catalog services) to AI agents, enabling natural language queries about cluster health and configuration.

Lets your coding agent talk to the RunWhen platform — workspace chat, issues, SLXs, run sessions, and the Tool Builder — over the Model Context Protocol. Enables workspace chat with AI assistant, task authoring via Tool Builder, and direct data access to workspaces, issues, SLXs, run sessions, and more.

Enables DevOps operators to query and operate the Sigma Streaming Platform from any AI client such as Claude Desktop, Cursor, or Kiro.

Enables approval-gated incident response workflows that gather evidence through read-only MCP tools, perform idempotent writes, and preserve a durable audit trail.

Extends the official Google Ads MCP with a safe write layer for creating paused-by-default Search campaigns and an account auditor, all running locally with no hosted dependencies.

MCP server for Google Search Console: properties, sitemaps, search analytics and URL inspection

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Google Search Console and GA4 in one MCP server: 39 tools for properties, sitemaps, search performance, URL Inspection, GA4 reports and site verification, with CTR benchmarks.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables LLMs to interact with Google Analytics via Admin and Data APIs, allowing users to retrieve account summaries, run reports, and analyze realtime data.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

Enables reading release lifecycle status, recent written reviews and bulk monthly report CSVs for allowlisted apps, and searching the full pinned Play API catalog with each method's implementation status. Read-only by design, with keyless authentication, explicit app allowlists and bounded, GET-only access to official Google interfaces.

An unofficial MCP server that connects AI assistants to Akamai APIs, providing tools for edge diagnostics, debugging, and network analysis.

Query Google Search Console search analytics, inspect URL indexing status, manage sitemaps, and analyze keyword performance. 13 tools covering search queries, page performance, sitemap management, and index coverage.

Official Google Analytics MCP Server

Enables AI assistants to query six Google services used by an online shop—GA4, Search Console, Merchant Center, Tag Manager, Indexing API, and PageSpeed—through read-only tools, answering questions about organic traffic, product disapprovals, indexing, tag configuration, and site performance.

Enables comprehensive integration with Google Analytics 4, allowing users to read analytics reports and send custom events through both the Data API and Measurement Protocol v2.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

An MCP server implementation for accessing Google Analytics 4 (GA4) data, built using the Model Context Protocol TypeScript SDK.

Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.

Enables LLM applications to query Google Analytics 4 data through standard MCP interfaces, supporting real-time data, custom reports, and metadata discovery.

Enables managing Google Analytics 4 properties, data streams, conversions, and running reports using natural language through the Admin and Data APIs.

MCP server for managing Google Apps Script projects, deployments, versions, and executions via OAuth 2.0. Provides 16 tools for full API coverage with secure token storage and auto-refresh.

The complete MCP server for Google Play, offering 150 tools to fully control Android Publisher API v3 and Play Developer Reporting API v1beta1.

A Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.

Enables AI assistants to monitor and control Bambu Lab 3D printers over a local network via MQTT, including real-time status, AMS filament info, print control, and maintenance tracking. It supports guided setup, safety confirmations, read-only mode, and a built-in printer simulator.

A standalone Python/FastAPI server that implements the Model Context Protocol (MCP) for the OPTIX threat intelligence platform. It exposes 26 analyst-friendly tools that AI assistants and programmatic consumers can use to query threat feeds, search documents and indicators, manage watchlists, triage IOCs, generate detection rules, trigger AI research, and produce intelligence reports.