"AWS Fargate" matching MCP servers:

Enables AI agents to automatically analyze AWS LNA CSV data and generate competency assessment PPT reports with radar charts and team-level insights.

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.

Enables natural language interaction with AWS QuickSight for building, editing, and managing analyses, datasets, and dashboards, including chart creation, SQL updates, and QA verification.

Publishes a spending-summary tool alongside an interactive HTML view, letting people click a category in the answer to fetch the individual expense records behind that total. Keeps calculations and their supporting evidence together in a single inspectable flow.

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

Enables an AI assistant to inspect GDSII layouts and stackup files, validate model scripts without running them, and generate AWS Palace models locally, along with layout previews, gmsh visualisation, S-parameter summaries, and inductor/capacitor value extraction. It works on files in the user's own Python environment and disk, without invoking the Palace solver.

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

A monorepo hosting multiple MCP servers, including a TypeScript chart server that generates AntV visualization specs, a Python chart sibling, and an AWS ECS MCP server for container management.

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.