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    An MCP server that provides AI assistants with access to the FirstPromoter affiliate management platform for managing referrals, promoters, campaigns, and commissions. It is designed for remote multi-user deployment and supports operations via HTTP/SSE transport.
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    A Model Context Protocol (MCP) server for Microsoft Advertising (Bing Ads / DuckDuckGo Ads). This server enables AI assistants to create, manage, and report on Microsoft Advertising campaigns programmatically.
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    MIT
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    agentcentral is a hosted MCP server for Amazon sellers that connects Claude, ChatGPT, and other AI clients to Amazon Ads, Seller Central, inventory, orders, catalog, rankings, finance, and fulfillment data. It provides fast reads from pre-materialized Amazon data, scoped API keys, OAuth-based Amazon connections, encrypted tokens, per-tenant isolation, and guarded write tools with audit log
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    GEO (Generative Engine Optimisation). This tool shows you exactly how AI search engines see your content - claim density, writing quality, E-E-A-T signals, extractability. Research-backed metrics that correlate with 40% higher AI citation rates.
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    A joke/demo Model Context Protocol server that injects cringe-worthy advertisements into LLM responses, showcasing both how to build MCP servers and the risks of ad-injecting intermediaries.
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    Official MCP server for PostIdentity - Generate AI-powered social media posts, threads, and replies from any MCP-compatible AI assistant with identity management and refinement capabilities.
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    This project implements a simple MCP server in Go that exposes a single tool (create_short_link) to generate short URLs using the Rebrandly API.
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    MIT
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    A memory-backed brand generation runtime for agent-led creative iteration. Enables AI agents to plan, generate, review, and improve brand materials with persistent brand memory and structured workflows.
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    MIT
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    Enables comprehensive management of Google Ads accounts by allowing users to create campaigns, manage keywords, and generate performance reports through a context-aware interface. It features a three-layer architecture that integrates product knowledge and historical campaign data to support intelligent decision-making.
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    Connects Claude to the Google AdMob API to provide a conversational interface for managing and analyzing ad revenue data. It enables users to generate custom network reports, track performance trends, and diagnose revenue fluctuations using natural language.
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    Enables SEO page generation with competitor research and Schema.org structured data. Provides tools to search competitors for a keyword and generate high-quality SEO content with FAQPage schema.
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    MIT