"Resources for Managing Google Ads Effectively" matching MCP servers:

Enables natural-language analysis and management of Google Ads accounts, campaigns, keywords, budgets, and performance metrics through Claude.

Enables natural language access to Google Ads campaigns, accounts, and performance metrics via Claude, with tools for managing ad groups, keywords, budgets, and visualizing data.

Enables Claude Desktop to access and manage Google Ads data, including campaigns, ad groups, keywords, budgets, and visualizations, through natural language interactions.

Exposes Google Ads and Meta Marketing performance data, campaign settings, and change history to Claude (Cowork) for live daily-dashboard workflows.

A stdio MCP server that authenticates to TikTok for Business via OAuth and exposes tools to query accounts, campaigns, creatives and SKU-level performance reports, search and call the underlying Ads API tools, and export results to Excel. It lets MCP clients such as Claude Desktop or Cursor pull and analyze ad data in natural language.

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

Google Search Console for Claude and other MCP clients. Sign in with Google in one click, then ask about clicks, queries, rankings and indexing, export every GSC report as CSV (beyond the 1,000-row UI limit), inspect URLs, submit sitemaps and verify sites. Includes a local SEO dashboard. Free, open source, runs on your computer.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

Provides aerodynamic analysis tools through MCP, enabling geometry generation, meshing, CFD solving, and visualization for 2D airfoils.

Enables MCP-compatible clients to query advertising data, analyze spend, conversions, and audiences, compare campaigns, generate dashboards, and manage campaigns with optional read-only safeguards.

Connects Google Search Console to AI assistants, enabling SEO data analysis through natural language conversations.

Enables AI assistants to fully control Google Sheets, including charts, pivot tables, formulas, formatting, and analytics, beyond basic read/write operations.

Enables professional Google Sheets management with 40+ tools for sheet operations, formatting, charts, and enterprise features.

MCP server for managing Google Sheets via 23 tools, enabling read/write, formatting, sheet management, and data operations through natural language.

Enables reading and writing spreadsheet ranges without destroying formulas, plus reshaping, formatting, and validating data within a spreadsheet.

Enables AI agents to query Google Trends for search-interest signals, returning stable JSON envelopes with calibrated searches/day estimates, relative comparisons across keywords, related and rising queries, regional interest, and country-level Trending Now data. It also surfaces explicit status and error codes so agents can distinguish partial or failed results from real numbers.

Bridges MCP-compatible clients to the Google Sheets API, enabling automated spreadsheet creation, reading, writing, and formatting through natural language.

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.

Provides a local stdio MCP interface for Apache ECharts infrastructure, enabling language models and agents to access chart-related tools and resources.

Enables your own ChatGPT to build and manage a collaborative work board—dashboards, categories, datasets, monitors, and policies—through typed WebMCP tools, with human approval, audit trails, and guardrails enforced on every action.

Enables Claude to read a project's FastStats metrics and then design, validate against real data, and publish charts, dashboards, event markers, and custom data sources. Every write is previewed and dry-run first, with read-only mode and confirmation guards for destructive actions.

Enables to read, write, format cells, create charts, use formulas, and manage Google Sheets spreadsheets directly from Claude, Cursor, or any MCP-compatible client.

Integrates with Google Search Console to enable querying search analytics, comparing performance periods, generating visual reports, and identifying SEO optimization opportunities through natural language.

Enables AI assistants to authenticate against a cloud geospatial analysis platform, search and inspect its datasets, render them as maps, and compute statistics over specified regions. It exposes these capabilities as MCP tools that can be dropped into any Next.js project via a route-based adapter.

MCP server for Microsoft Power BI and Fabric, enabling Claude to discover workspaces, semantic models, generate and execute DAX queries, and retrieve report metadata via device-code authentication.

Enables AI assistants to drive a live TradingView chart in Chrome, turning natural-language trading ideas into compiled Pine Script indicators, adding them to charts, and reading back results. It also supports chart navigation, indicator management, screenshots, and strategy tester backtest results.

MCP server providing data analytics tools for AI agents to load, clean, analyze data, generate charts and dashboards.

Enables AI assistants to control a logged-in TradingView chart in Chrome, including writing and compiling Pine Script indicators, adding them to charts, changing symbols and timeframes, capturing screenshots, and retrieving strategy tester results.

Enables searching Google Scholar papers with year filtering, deduplication, and proxy support. Also provides paper detail retrieval, TF-IDF relevance analysis, and chart generation via MCP tools.

Enables LLMs to generate visual summary reports from CSV datasets using MCP Resources, Tools, and Prompts, without exposing raw data to the model.