"Using RAG to Provide Documentation to LLMs" matching MCP servers:

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

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

An MCP server that provides AI agents with direct access to authoritative Cakemail API specifications, enabling accurate code generation and eliminating hallucination.

Enables automated B2B lead generation and personalized cold email outreach with self-improving campaign monitoring.

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.

A lightweight semantic ad-matching engine for LLMs that serves relevant advertisements via MCP, allowing agents to request ads using natural-language context.

Enables creation and management of professional email templates using MJML markup language. Provides compilation to responsive HTML, template generation, validation, and component documentation for building email campaigns.

Enables LLMs to interact with Google Ads accounts via tools like list_accounts and search_stream, using a standardized Model Context Protocol integration.

Generates a complete suite of AI readiness files (llms.txt, ai.txt, schema, RAG indexes) for any website to optimize representation in ChatGPT, Claude, Gemini, and Perplexity.

A Node.js Express server that integrates with Facebook Marketing API to provide a platform for managing ad campaigns, analyzing performance, and receiving optimization recommendations.

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.

An MCP server that generates professional and context-aware responses to customer reviews using Claude AI. It supports multiple tones and business types to provide tailored feedback variations for both positive and negative reviews.

Serves as a reserved placeholder for a future SEO-MCP service, currently offering no public endpoint or functionality. It is intended to provide endpoint discovery, authorization, security contact, and status once launched.

An MCP server that orchestrates deterministic analytics, benchmarks, recommendations, and forecasting to provide AI-driven campaign analysis and executive reports.

MCP server that wraps VS Auto Trend API to provide trend data and concept brief generation tools for LLMs.

A Codex MCP server that wraps the Google Ads Gateway Worker to provide list_accounts and run_gaql tools, enabling natural language querying of Google Ads accounts and running GAQL queries without storing credentials.

Tracks buying and momentum signals for companies, such as funding rounds, senior hires, office openings, customer wins, and partnerships, with each event carrying its date.

Enables AI listing assistants to validate marketplace draft listings against seller-provided item specifics, returning PUBLISH or REVIEW with the exact words behind every unbacked claim.

Enables AI agents to check a list of websites by running an Apify Actor through one tool, returning per-site tech stack, on-page SEO issues and score, robots.txt rules for AI crawlers, sitemap, llms.txt presence, and an AI-readiness score. Supports local stdio operation with an Apify token for tool calls.

Provides TikTok trend data to AI assistants, including hashtag volume, growth rates, and top trending topics for early trend detection.