{"repo":"Exorust/Adkit-MCP","free":true,"listed":false,"github":"https://github.com/Exorust/Adkit-MCP","clone":"git clone https://github.com/Exorust/Adkit-MCP.git","description":"AdKit: A lightweight ad-engine for MCP","language":"Python","stars":46,"topics":["advertisements","mcp"],"license":null,"category":"mcp-servers","readme_excerpt":"A lightweight, semantic ad-engine for the LLMs, available through MCP 🐦 Follow Updates • 📧 Contact & Feedback A simple MCP Server that serves advertisements to LLMs! Use this to Inject Advertisements from your sponsors in your LLM. Introduction AdKit is a lightweight semantic ad-matching engine built for LLM applications . It exposes a small, safe tool surface via MCP so agents can request relevant ads using natural-language context (chat turns, page content, search queries) — without brittle keyword rules. Under the hood, AdKit embeds your context locally (FastEmbed) and retrieves candidates from Qdrant using vector similarity plus typed constraints (topics, locale, verticals, exclusions, policy flags). It’s designed with a hard security boundary: the Data Plane is read-only and allowlisted, while the Control Plane handles ingestion and admin operations separately. Use it when you want “native” sponsor inserts or product recommendations that match meaning, not strings — and you want the architecture to stay sane when you ship to production. Where can you use this? - AI Agents & Assistants: Seamlessly inject relevant product recommendations or sponsored messages into chat interfaces (e.g., customer support bots, shopping assistants). - RAG (Retrieval-Augmented Generation) Pipelines: Serve \"sponsored context\" alongside organic retrieval results, allowing for high-relevance native advertising in search or Q&A tools. - Content Discovery Platforms: Power \"You might also like\" f","default_branch":null,"files":null,"tree":[],"storefront":"/r/Exorust","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Exorust/Adkit-MCP/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}