"Information about Meta ads or advertising on Meta platforms" 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.

MCP server for searching and analyzing 1C enterprise metadata and BSL code using a SQLite backend. Enables querying configuration structure, code routines, and performing compliance checks via natural language.

MCP Server to interact with Amazon Ads

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

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

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

Retrieves comprehensive patient information including personal details, insurance plans, and employee data through the get_patient tool. Supports Docker Compose deployment and integration with Watson Orchestrate for healthcare data access.

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.

Deploys 25 MCP tools for Apache Doris, enabling SQL execution, metadata queries, monitoring, and data governance over HTTPS via AWS Bedrock AgentCore Runtime.

Enables MCP sessions to survive ECS Fargate deployments by using Redis-backed tool state and stateless Streamable HTTP transport.

Exposes 3 meta-tools to efficiently search and execute 174 backend CRUD tools, reducing context token usage by ~98%.

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.

Omni-mcp is a unified Model Context Protocol gateway combining the Behavioral Profiler BP v3 forensic analysis engine, Prisme engine, and dynamic Meta-Skills routing, with PostgreSQL 18 persistence on Oracle Cloud Infrastructure, exposing MCP tools for forensic behavioral profiling, profile management, and dynamic tool routing.