Enables MCP clients to query public Facebook pages and profiles by handle, retrieving like counts, contact details, owner info, and recent posts with reactions, comments, and shares as structured JSON.
Gives AI agents read access to ads running across Meta platforms without an API key, returning full creatives, real landing URLs, and complete platform lists.
Enables AI agents and LLMs to interact with Google Ads accounts, allowing search, retrieval of resource metadata, and listing accessible customers via the Google Ads API.
MCP server for the NASA Astrophysics Data System (ADS) enabling searches, paper retrieval, citation tracking, metrics, and interactive literature review prompts.
An MCP server for the NASA Astrophysics Data System (ADS) that enables searching, citation graph traversal, and bibliography management for astrophysics literature. It provides tools for computing citation metrics, resolving astronomical object names, and managing paper libraries through natural language.
Provides seamless access to the NASA Astrophysics Data System (ADS) for searching astronomical papers, tracking citations and metrics, managing paper libraries, and exporting BibTeX references through natural language conversation.
Provides MCP clients typed tools for Apple Ads Platform research, reporting, auditing, and receipt-gated campaign management with a local-first, read-only-by-default safety model.
Read-only MCP server for the Reddit Ads API v3, enabling AI assistants to analyze ad performance, campaigns, reports, and targeting without modifying anything.
Enables querying and analysis of Kakao Keyword Ads data, including campaigns, ad groups, keywords, and performance reports. Supports 21 read-only tools and 2 resources for accessing ad account information and metrics.
Provides read access to campaign performance data from Google Ads, Meta Ads, and TikTok Ads via live API calls, enabling AI assistants to analyze and audit advertising campaigns.
Provides access to Canadian federal parliamentary data (debates, bills, MPs, votes, Hansard transcripts) and legal information (case law and legislation through CanLII) for research and analysis.
Enables AI assistants to manage, report, and analyze Google Ads campaigns securely with encrypted multi-client support, real-time API integrations, and audit trail logging.
Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.
This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.