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MarketingMCP

Free
★ 11 • Updated Sep 1, 2026, 11:29 PM

MarketingMCP is an open-source Model Context Protocol (MCP) server that bridges the gap between natural language AI assistants like Claude and marketing data platforms.

Use Cases ▼
01

A digital marketer asks Claude: 'Show me the click-through rate for our Facebook ad campaign over the last 7 days' and receives a detailed breakdown.

02

A growth manager says: 'Compare the cost per acquisition of our Google Ads and LinkedIn campaigns this month' and gets a comparative analysis.

03

An SEO specialist connects Google Search Console via MarketingMCP to ask: 'Which pages had the biggest drop in organic traffic last month?' and receives a ranked list.

04

A business owner asks: 'What's the total ad spend so far this quarter across all platforms?' and receives an aggregated sum.

05

A marketing analyst uses MarketingMCP to export campaign data directly into a spreadsheet for deeper offline analysis.

06

A team lead sets up automated monitoring by asking Claude to alert when cost per lead exceeds a defined threshold using MarketingMCP.

What Problem It Solves ▼

Marketing professionals often waste time navigating disparate advertising dashboards to gather performance data, leading to delayed insights and manual effort. MarketingMCP solves this by enabling natural language interactions with marketing data through Claude. Users can instantly ask for metrics, trends, and comparisons without leaving the conversation, streamlining analysis and allowing quicker, data-driven decisions.

Key Features ▼
✓

Enables natural language marketing analytics, reducing the need for manual dashboard checks.

✓

Self-hosted architecture ensures data privacy and compliance with company policies.

✓

Extensible to support additional marketing APIs and custom data sources.

✓

Free and open-source, with an MIT license encouraging community contributions.

✓

Seamless integration with AI assistants like Claude, already used in many workflows.

Overview

MarketingMCP is an open-source Model Context Protocol (MCP) server that bridges the gap between natural language AI assistants like Claude and marketing data platforms. It enables users to query advertising analytics, generate performance reports, and even manage campaigns through conversational interactions. By running the server locally or in a cloud environment, marketing teams can securely grant Claude access to tools that pull real-time data from sources such as Google Ads, Facebook Ads, and more.

Full Description ▼

The server implements the MCP specification, exposing a set of pre-defined tools and resources that Claude can invoke when a user asks marketing-related questions. For example, a user can ask, 'How did our Facebook campaign perform last week?' and MarketingMCP handles authentication, data retrieval, and formatting, allowing Claude to present a clear analysis. It supports custom metrics, date ranges, and aggregation options, making it adaptable to various reporting needs.

Key features include multi-platform support, real-time data access, the ability to generate charts and summaries, and a self-hosted architecture that ensures data privacy. Built with extensibility in mind, MarketingMCP can be enhanced with additional marketing APIs, such as LinkedIn Ads, Google Analytics, or custom data sources. The server is lightweight, written in Python, and deployable via Docker or pip, making it accessible to both developers and technically-savvy marketers.

MarketingMCP is particularly useful for teams that rely on AI assistants for daily workflows, as it eliminates the need to switch between multiple dashboards. It turns Claude into a central hub for marketing intelligence, enabling faster decision-making and more efficient campaign management. The project is freely available under an MIT license, encouraging community contributions and custom integrations.

Pros & Cons

Pros

+

Enables natural language marketing analytics, reducing the need for manual dashboard checks.

+

Self-hosted architecture ensures data privacy and compliance with company policies.

+

Extensible to support additional marketing APIs and custom data sources.

+

Free and open-source, with an MIT license encouraging community contributions.

+

Seamless integration with AI assistants like Claude, already used in many workflows.

Cons

−

Requires technical setup and familiarity with servers/Docker, limiting non-developer adoption out-of-the-box.

−

Limited to the advertising platforms for which integrations have been built; less common tools may require custom development.

−

Dependent on Claude's availability, token limits, and pricing, which may affect scalability for large queries.

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