"General Information About Marketing" matching MCP servers:

MCP server exposing four task-shaped tools (resolve, pay, verify, disclose) for General Liquidity, enabling agents to normalize counterparties, submit intents, verify disclosures, and produce signed disclosures.

Connect Claude to your marketing data from Google and Meta, enabling read and write operations on Search Console, Analytics, Tag Manager, Business Profile, and Meta platforms.

Enables AI agents to book real-world advertising on venue e-paper screens by searching screens, quoting prices, uploading artwork, paying within spending limits, and retrieving proof-of-display reports. It also lets users earn commission by signing up venues as ambassadors, and lets venues manage hosted screens and withdraw earnings.

A proxy MCP server that bridges AI assistants to a remote Eulerian Marketing Platform, handling authentication and request forwarding for querying Eulerian API endpoints.

A minimal MCP server for marketing analytics data discovery and querying, supporting Google Ads integration with mock fallback and real API access.

Enables users to audit personal reading streams by quantifying category diversity with Shannon entropy, detecting lexical redundancy and echo chambers via Jaccard similarity, and ranking content sources by decibel signal-to-noise ratio for pruning recommendations.

Give your coding agent marketing superpowers. Layers Marketing MCP researches your market, renders videos with AI personas, posts to TikTok, runs paid campaigns, and measures what worked; 27 tools, each priced before it runs.

Enables MCP clients to query proxy sub-accounts, traffic, pricing, and inventory, and to place orders, renew, and modify configurations after user confirmation.

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

Enables Large Language Models to interact with Google Ads API for querying campaigns, ad groups, and performing mutations like creating budgets and ads.

A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.

Enables AI assistants to rewrite AI-styled English prose into more natural human writing, with tools for humanizing text and retrieving information about the underlying model.

Enables AI agents to search and retrieve detailed information about US golf courses, including course details, tees, climate, and nearby points of interest.

A Model Context Protocol server that allows AI assistants to search for and retrieve information about OpenTofu providers, modules, resources, and data sources from the OpenTofu Registry.

Provides access to the SonoVault music metadata API, enabling search and retrieval of information about 90M+ tracks, artists, labels, and releases, including ISRC, ISWC, and cross-platform IDs.

Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.

Provides large language models with access to news and information about renewable energy projects in Germany, allowing filtering by location, topic (solar, wind, hydrogen), and date range.

This remote server enables AI assistants to manage marketing data and leads within the TruLata account. Functions include viewing, creating, and modifying lead statuses, as well as viewing published blog posts and account information.

A universal marketing MCP server that lets AI clients manage 20+ ad and marketing platforms (Google Ads, Meta, TikTok, etc.) with 500+ operations, including write actions with user approval.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

Connects e-commerce and marketing data sources like Shopify, GA4, Google Ads, and Meta Ads to AI assistants, enabling natural language queries about store performance, ad campaigns, and customer behavior.

Enables AI agents to query up-to-date, sourced information about workflow automation services, AI agents, integrations, pricing, case studies, FAQs, and contact details in Dutch and English through read-only tools.

Enables coding agents to access store-review digests, marketing analytics, post performance, and a publishing queue so they can generate marketing reviews and schedule content from the repo.

Provides read-only access to query and retrieve information about devices, fleets, events, and configurations managed by Flight Control through a safe integration layer supporting filtering and selector-based queries.

Enables querying context about the MAM product components and architecture through MCP, allowing agents to retrieve targeted product information on demand instead of loading full documentation.

Provides Claude with business intelligence frameworks for sales, marketing, and operations, enabling lead qualification, pipeline tracking, marketing mix analysis, and campaign planning through natural language.

Databox MCP enables you to query live business metrics from 100+ data sources through AI. Ask natural language questions about marketing performance, sales data, analytics, and financial metrics to get instant insights without switching dashboards. Connect platforms like Google Ads, Salesforce, Shopify, Google Analytics, and more.

Enables MCP clients like Claude Desktop and Claude Code to drive a real browser with SeleniumBase automation. Offers three variants: WebDriver-based general automation, Pure CDP Mode for bot-detection bypass, and a broad SB() API with MFA and downloads.

An MCP server for querying the FDSN Web Service Event APIs of multiple seismological datacenters and retrieving earthquake information as JSON.

Provides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.