"Information and Resources About Marketing" 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.

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

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 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.

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.

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 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.

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.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables comprehensive Google Meet and Calendar management through Google Calendar API v3 and Google Meet API v2, supporting calendar event creation with Meet links, space management, transcription, recording, attendance tracking, and meeting moderation controls.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

A local MCP server that integrates FastMCP with OpenAI to enable natural language queries for current weather, forecasts, and currency conversion using ExchangeRate-API and Open-Meteo.

Credit and payments for AI agent developers — over MCP. No crypto required

MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.

Enables AI assistants to manage Facebook and Instagram advertising via the Meta Marketing API. It provides comprehensive tools for campaign lifecycle management, performance analytics, audience targeting, and creative optimization.

A Model Context Protocol (MCP) server for the Rule marketing automation platform. It provides full access to Rule's REST API v2 for subscriber management, campaigns, transactional messages, and more.

A set of tools enabling AI agents to interact with Canvas LMS, allowing users to find relevant resources, get course information, and navigate modules through natural language queries.