"Information and Resources About Marketing" matching MCP servers:

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

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.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Marketing Analytics AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Free MCP server to automate TikTok viral marketing — search trending videos, analyze hashtags, and draft video scripts. Premium features powered by DeepSeek AI unlock AI-driven optimal posting times, hashtag strategies, and script generation.

Automates LinkedIn B2B marketing tasks such as profile search, company analysis, and connection request drafting, with optional AI-powered features via DeepSeek.

Exposes the OSMOS Marketing API registry as callable MCP tools, enabling AI agents to discover endpoints and make real API calls with authentication headers and campaign hierarchy support.

Unifies Google Ads, Tag Manager, Search Console, and GA4 into a single MCP server, enabling reporting, monitoring, campaign/tag/property creation, and live mutations with dry-run safety.

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.

Runs 13 agent slash-command workflows across Linear, GitHub, Google Docs, Slack, Firecrawl, Sheets, Tavily, Forms, Calendar, Gmail, Stripe, Granola and Notion — turning shipped features into blog and social drafts and handling competitor pricing, mention monitoring, SEO gaps, webinars, newsletters and launch-day tracking. Every credential is your own, kept in the OS keychain or client config, and anything that writes, sends or deletes is shown for approval first.

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.

An MCP server that deterministically scores landing pages on conversion-critical signals and blocks ad spend on low-quality pages to prevent wasted budget.

An MCP server that provides real-time weather alerts, forecasts, stock market data, and news information through various API integrations.

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.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

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 users to retrieve and structure shipment tracking information from DB Schenker's website using natural language queries.

Enables local, deterministic review of GitHub and GitLab pull request diffs for secret leaks, OWASP injection issues, WCAG 2.2 AA/EU EAA accessibility gaps, EU AI Act transparency, and database RLS risks, producing risk scores, merge decisions, committable suggestions, and SARIF exports.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

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 search product information and compare pricing from Coles and Woolworths, with optional store selection and result limiting.

Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.

Deterministic US equity-compensation tax optimizer. Six tools cover ISO/AMT exercise scheduling, NSO sell-vs-hold, RSU vest-and-sell, single-stock concentration, protective put / zero-cost collar pricing, and Section 1202 QSBS qualification. Federal plus 50-state plus DC tax math.

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.