"A server for finding marketing information and resources" matching MCP servers:

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Provides standardized brand guidelines and structured content templates for marketing assets like blogs, emails, and social media. It serves as a central source of truth for brand voice and strategy through an extensible file-based system.

Centralizes 10 marketing APIs into 14 MCP tools for AI assistants to pull data, audit sites, research trends, and manage Google Drive without switching tabs.

A remote MCP server that provides a complete digital-marketing employee with 45 marketing skills, orchestration logic, persona, and per-client context for any MCP host.

Enables keyword analysis and search volume data through the Marketing Miner API, connecting marketing intelligence tools to AI assistants like Cursor, Claude, and Windsurf.

A TypeScript implementation of a Model Context Protocol server that provides marketing tools based on Open Strategy Partners' methodologies, enabling content creation, optimization, and product positioning through tools like value map generation, meta information creation, and content editing.

Enables natural language querying of marketing analytics across Google Search Console, GA4, Google Ads, HubSpot, and Bing. Provides tools for search queries, traffic, campaign performance, and composite cross-platform rollups.

Enables AI-powered marketing campaign management across Google Ads, Facebook Ads, and Google Analytics with automated budget optimization, AI-generated ad copy, audience segmentation, and real-time performance analytics.

MCP server that connects AI agents to real YouTube channel analytics and SEO management via OAuth, enabling content strategy, metadata updates, and companion WordPress posts without leaving the agent.

Provides a controlled interface for Bayesian Marketing Mix Modeling, letting AI agents validate datasets, fit and diagnose MMMs, analyze channel contributions and ROI, simulate and optimize budgets, calibrate with lift tests, and cross-validate models—all with statistical verification, uncertainty reporting, and full provenance.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.

Turn Claude into an ISO 27001 compliance assistant - controls, risk register, policies, evidence tracking, SoA generation, and full audit workflows in one local encrypted MCP server.

A server that allows AI tools like Claude and Cursor to automate and control Photoshop through natural language commands, enabling tasks like editing PSDs, toggling layers, and generating marketing creatives.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.

Self-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.

Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.