"Official Ads Manager Certification Program (MCP)" matching MCP servers:

MCP server for managing and analyzing Amazon Advertising data through natural language queries.

Enables LLM agents to perform CRUD operations across multiple databases including PostgreSQL, MySQL, and SQL Server using SQLAlchemy. It features configurable permission management and secure connection handling with automatic password redaction.

Enables task management (create, list, update tasks with priority and status) using SQLite storage via MCP tools.

MCP Server to interact with Amazon Ads

Enables SQLite database interactions including querying, updating, and schema management through structured tools.

A read-only MCP server that lets Claude query warehouse marts for paid media spend, impressions, clicks, conversions and derived ratios across platforms, campaigns, audiences, formats, and time periods. It also surfaces month-to-date budget pacing against plan and flags campaign-days that deviate from a campaign's own recent history, using allow-listed options and bound parameters rather than model-written SQL.

Enables task management through natural language: create tasks, list and filter them, and update their status. It uses SQLite for persistence and supports both local stdio and remote SSE transports.

Enables self-hosted personal finance management for MCP clients by connecting read-only bank accounts via SimpleFIN, syncing transactions into a local SQLite database, and exposing tools to query balances, spending, budgets, cash flow, and net worth.

A local Model Context Protocol server providing backend tools for AI agents to manage projects and tasks with persistent storage in SQLite, enabling structured tracking of project tasks with dependencies, priorities, and statuses.

A Model Context Protocol server that allows AI models to access, analyze, and manage Meta advertising campaigns, enabling LLMs to retrieve performance data, visualize ad creatives, and provide strategic insights for Facebook and Instagram platforms.

Enables AI assistants to interact with and manage multiple database types (PostgreSQL, MySQL, SQLite, SQL Server, MongoDB, Redis) through natural language, supporting query analysis, schema management, data analysis, backup/restore, and security analysis.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for LinkedIn Ads (beta): https://www.cdata.com/download/download.aspx?sku=EBZK-V&type=beta

This read-only MCP Server allows you to connect to Bing Ads data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

This read-only MCP Server allows you to connect to Facebook Ads data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Snapchat Ads (beta): https://www.cdata.com/download/download.aspx?sku=JPZK-V&type=beta

Enables managing employee leave through natural language, including checking balances, applying for or canceling leave, and viewing history, with data stored in a local SQLite database.

This read-only MCP Server allows you to connect to Google Campaign Manager 360 data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

Enables comprehensive Google Ads campaign management and analytics through the Google Ads API. Supports querying campaigns, ad groups, keywords, performance metrics, and executing custom GAQL queries with token-efficient implementation.

This read-only MCP Server allows you to connect to Google Ad Manager data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

It enables AI assistants to execute SQL and explore databases, retrieve schemas, metrics, and overviews, and generate Plotly charts directly from query results.