"Information about using Meta Ads" matching MCP servers:

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 MCP clients to connect to SAP ABAP systems via ADT, retrieving source code, table structures, and other development information through read-only tools.

Enables MCP clients to connect to SAP ABAP systems and retrieve development information such as source code and table structures.

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.

Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.

Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

MCP Server to interact with Amazon Ads

An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.

CTX is a tool made to solve a big problem when chatting with LLMs like ChatGPT or Claude: giving them enough context about your project.

A Python-based server that interacts with EPICS process variables, allowing users to retrieve PV values, set PV values, and fetch detailed information about PVs through a standardized interface.

Enables AI assistants to query unified commerce data from Amazon, Google Ads, GA4, and other selling systems using read-only SQL tools, with managed sync, freshness, and schema discovery.

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

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

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/).

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.

Enables querying a Neo4j knowledge graph about Wroclaw University of Science and Technology using natural language. Converts user questions into Cypher queries and retrieves contextual information through an intelligent RAG pipeline with LLM-powered query routing.

Enables users to ask questions about their spreadsheets in plain English and receive instant answers using DuckDB-powered analytics, supporting multiple file formats like Excel, CSV, and Parquet.