"A search engine and analytics platform for managing and querying data" matching MCP servers:

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

A Model Context Protocol server that provides unified access to Google Analytics 4 and Google Search Console data through real-time analytics queries.

Enables ingestion and full-text search of Windows application logs via MCP tools. Supports dual-backend indexing with Elasticsearch and SQLite for fast retrieval.

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.

Enables unified querying of GA4, Cloudflare Web Analytics, Vercel Analytics, and Google Search Console through a single MCP interface, with cross-tracker comparisons and discrepancy reporting.

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

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.

A security-first MCP server for Umami analytics (Cloud and self-hosted v3) enabling analytics, reporting, and administration with least privilege and credential-safe design.

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.

An unofficial server that allows AI assistants to access Fathom Analytics data, enabling users to retrieve account information, site statistics, events, aggregated reports, and real-time visitor tracking.

An MCP server that integrates Google Search Console and Google Analytics 4 to provide unified SEO and web traffic analysis. It allows users to fetch search performance data, merge page metrics, and generate automated trend reports or actionable insights through tool calls.

Provides a structured data interface for Servarr apps (Sonarr, Radarr, Prowlarr) enabling health checks, analytics, simulations, backups, and guarded write operations.

Provides an interface to access Google Analytics Data API through Model Context Protocol (MCP), allowing users to retrieve reports and realtime data from Google Analytics 4 properties.

A FastAPI-based server that enables executing SQL queries, managing database connections, and retrieving analytics reports through MCP-integrated endpoints. It allows users to interact with database schemas, performance metrics, and access logs using structured queries.

Enables AI-powered analytics from Stripe, PayPal, and Google Analytics 4 (BigQuery) data sources with built-in guardrails and automated workflows for financial and web performance insights.

Production-ready MCP server integrating Google Search Console, GA4, and PageSpeed Insights for SEO and analytics intelligence, enabling natural-language queries to Google analytics data.

Official Google Analytics MCP Server

Enables AI agents to audit Core Web Vitals, transform HTML for speed, generate PWAs, and export performance configurations via the Model Context Protocol.

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