"An exploration of Google, the popular search engine." matching MCP servers:

Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.

Syncs Google Search Console performance data into a local ClickHouse database and exposes prepared SEO analysis tools to AI agents. Enables diagnosing traffic drops, finding striking-distance keywords, detecting cannibalization, auditing indexing, and generating weekly SEO reports through natural language.

Provides secure, agentic Excel analysis and calculation capabilities, enabling users to inspect workbook structure, perform statistical computations, write formulas, and generate outputs through whitelisted MCP tools with audit trails and backups.

Lets agents declare what data they need by concept plus entity (e.g. "price.close of Moutai"), then resolves those concepts to physical columns, ranks candidate sources, and fetches with failover. Over 70 tools also cover catalog and binding management, entity identity and graph, semantic and AI search, crawl policy and platform control, coverage reporting, schedules, authenticated-login pools, and governed observation reads.

Enables read-only collection and comparison of Google Search Console and Bing Webmaster data, conservative URL protection, content auditing, reviewed-build verification, and private report generation through ten typed tools over stdio.

Exposes a governed dbt MetricFlow semantic layer to AI agents through three tools — list metrics, list dimensions and query metrics — so questions about federal contract spend are answered from defined metrics rather than raw tables. Guardrails reject undefined metrics, raw columns, SQL in filters and bulk exports, and no tool can execute SQL.

Enables local offline machine learning workflows, including CSV profiling and cleaning, classifier and neural network training, hyperparameter optimization, evaluation metrics, confusion matrix plots, Streamlit dashboards, and HTML reports through MCP tools.

Enables an AI client to track a watch list of contacts and retrieve only what changed since the last run — departures, new employers, replacements, and new hires after a role closed — each row carrying match evidence, source dates, and ready-to-use outreach payloads. It runs the analysis on Apify using the caller's own provider keys, supports stored or caller-held state, and can push results to a signed webhook.

Enables LLMs to interact with Google Analytics Admin and Data APIs to retrieve account summaries, property details, and custom metrics. It allows users to run core and real-time reports to analyze website performance and configuration via natural language.

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.

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

A Model Context Protocol server that enables searching Google Patents information via the SerpApi Google Patents API, allowing users to query patent data with various filters and sorting options.

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.

Enables MCP clients to list a spreadsheet's tabs, read cell ranges, append or update rows, and export Apify datasets into a tab using your own Google service account for authentication. It can run hosted on Apify with pay-per-call billing or self-hosted for free.

MCP server enabling AI agents to read, write, and manage Google Sheets, including sheet manipulation, row/column operations, dropdowns, checkboxes, and conditional formatting.

GA4 Data and Admin API tools: data quality audits, funnels, attribution, realtime and comparison reports, and property configuration checks. Admin changes are dry-run first and need terminal approval.

Enables AI agents to interact with Google Analytics 4 data, providing tools for historical reporting, real-time activity monitoring, and property management. It supports secure service account authentication to access metrics like traffic summaries, user acquisition, and custom dimensions.

Provides a secure FastMCP gateway to Google Analytics Admin and Data APIs, deployable on Coolify with OAuth protection and encrypted storage.

Enables AI agents to discover and query data federated across MySQL/MariaDB, PostgreSQL, ClickHouse, S3 and Kafka with SQL, exposing tools to list databases, schemas, tables and connections, describe columns, search objects, inspect table statistics, run EXPLAIN, and execute arbitrary statements. It runs locally over stdio against a PostgreSQL-wire endpoint and returns structured results or SQLSTATE-coded errors.

Enables LLMs to retrieve Google Analytics account and property details, run core and realtime reports, manage property annotations, and export report data to CSV through Google Analytics Admin and Data APIs.

An MCP server that provides Large Language Models with access to YNAB (You Need A Budget) budgets, allowing them to fetch budget data including accounts, categories, and category groups.

Enables AI assistants to query 16 months of backed-up Google Search Console data in BigQuery and the live Search Console API through 39 tools covering top queries and pages, period comparisons, striking-distance keywords, cannibalization, URL inspection, sitemaps, and Core Web Vitals. It also provides site health summaries, environment discovery, and auth checks so assistants can analyze SEO performance conversationally.

Proxies Google Stitch MCP endpoint, injecting the API key from environment variable for secure access.

Enables reading data from a Google Sheets spreadsheet via the read_sheet tool, integrating real-time sheet data with an AI reminder assistant.

Superhuman data-driven science. Allows agents to upload any tabular dataset, specify a target column, and get validated predictive patterns (with p-values, effect sizes, and context from literature) that surface feature interactions and subgroup effects you'd otherwise miss. Many discoveries already made, free for open data!

Enables LLMs to interact with Google Analytics 4 data through the Google Analytics Data API, supporting standard reports, real-time data, and metadata retrieval.

MCP server that archives Decent DE1 espresso shots from Visualizer.coffee into SQLite and provides analysis tools for shots, beans, and profiles via MCP.

Enables AI agents to inspect schemas, walk Delta table history, run read-only DuckDB queries, and check data-quality and job-run status safely.

Enables AI agents to inspect, query, test, and safely fix dbt projects and BigQuery warehouses under policy-enforced controls, with read-only direct queries and dbt-only allowlisted writes.

Enables Claude and other MCP clients to query GA4 read-only through tools for listing properties, running historical and realtime reports, and inspecting metadata.