"Using Google for searches" matching MCP servers:

MCP server to read and manage Google Ads accounts via GAQL queries, campaign/ad group/keyword operations, and safe write support with draft-confirm flow.

Enables AI clients to read Google Ads account data through reporting tools for campaigns, ad groups, keywords, and raw GAQL queries, with no write or mutate capabilities.

A small MCP server that wraps MoneyMoney on macOS via AppleScript, exporting account lists and transactions (bookingDate, amount, name, purpose) as plists for invoice reconciliation, complementing a companion Apple Mail server.

Enables read-only access to authorized Google Ads accounts through six predefined catalogue functions, supporting account details, campaign information, cost, and performance queries via MCP.

Unofficial Google Ads MCP for campaigns, keywords, budgets, reports and gated mutations.

Enables interaction with multiple Google services including Maps, Finance, Flights, Gmail, and Calendar through a unified interface. Provides comprehensive access to geocoding, stock data, flight information, email management, and calendar operations.

Enables managing releases, monitoring Android vitals, analyzing earnings and search terms, optimizing ASO, and preflighting store assets through natural language, with a confirmation gate before destructive writes.

MCP server for Google Ads. Audit spend, find wasted budget, create campaigns, monitor performance, and optimize ads directly from ChatGPT, Claude, or any MCP-compatible client.

A collection of small MCP servers for macOS automation that expose Apple Mail, MoneyMoney, and Spotlight functionality as tools via AppleScript and command-line, enabling AI applications to search mail, manage contacts and transactions, and perform system-wide file searches through natural language.

A fast, safe MCP server for YNAB providing read-only budget access by default, with 28 tools for budgets, transactions, categories, payees, accounts, scheduled transactions, and server-computed analytics.

Enables read-only access to personal financial data and safe, audited classification-rule management via Claude Desktop.

Analyzes recent Bluesky posts about stocks and provides sentiment analysis using Cloudflare Workers AI. Searches for stock-related content on Bluesky and returns sentiment summaries with confidence scores and post details.

A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.

Read-only MCP server that connects Google Ads to Claude via Cloudflare Workers, supporting account/campaign/ad reports, keywords, search terms, and GAQL queries with OAuth 2.1 authentication.

Enables authorized users to securely connect to and manage their Google Ads accounts through MCP clients, with support for campaigns, ad groups, ads, keywords, reporting, and billing. Runs as a remote multi-user server on Cloudflare Workers with per-user authentication and safety controls.

A read-only MCP server for the Google Ads API, exposing reporting tools for account summaries, campaigns, performance, search terms, and conversion actions. Enables natural-language queries to Google Ads data without write access.

Local MCP for Australian accountants: ATO benchmarks, Payday Super timing, limited Division 7A reviews, 7 bounded tax worksheets and cited legislation search, plus synthetic CTR/BAS test data. Experimental reviews need professional judgement. No advice or lodgements.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

Read-only SQL MCP server for quantitative finance data (DuckDB) with stock quotes, financials, and historical K-lines, enabling cross-database JOIN queries.

Enables AI agents to query US public company financial data from SEC filings, with tools for resolving tickers, listing filings, retrieving financial concepts, comparing companies, extracting filing sections, and full-text search. It surfaces data ambiguities like tag variations, restatements, and fiscal-year misalignment rather than hiding them.