Facebook Ads MCP Server

The Facebook Ads MCP Server bridges the gap between AI assistants and the Facebook Marketing API, enabling developers to programmatically create, manage, and analyze ad campaigns directly from an AI workflow. By exposing a set of high‑level tools over the Model Context Protocol, the server allows assistants such as Claude to orchestrate complex advertising tasks—everything from audience definition to performance reporting—without leaving the conversational context.

The core problem this server solves is the friction that typically accompanies manual interaction with Facebook’s RESTful API. Marketers and developers often need to write boilerplate code, manage authentication tokens, and parse verbose responses before they can even begin drafting creative assets. The MCP server abstracts these details behind a concise, declarative interface: each tool corresponds to a single API endpoint or logical operation (e.g., , ). This reduces the cognitive load on AI assistants, letting them focus on higher‑level strategy while the server handles authentication, pagination, and error handling.

Key capabilities include:

• Campaign Lifecycle Management – Create, read, update, and delete campaigns in a single call.
• Audience Engineering – Build custom audiences from website or engagement data, and generate lookalike audiences that expand reach efficiently.
• Ad Set Creation – Provision ad sets with basic targeting and budget controls, streamlining the setup phase for new campaigns.
• Insight Retrieval – Pull detailed performance metrics, enabling AI assistants to generate data‑driven recommendations or alerts.
• Prompt Generation – Use predefined templates to craft natural language prompts that guide users through campaign creation, enhancing usability for non‑technical stakeholders.

In practice, a marketing team could deploy the server as part of an AI‑augmented campaign builder. An assistant might ask, “I want to target users who visited my product page in the last 30 days,” and the assistant would invoke , then , and finally set up an ad set—all while the MCP server manages API calls, token refreshes, and response formatting. Similarly, a data analyst could request “Show me the top‑performing campaigns from last month,” triggering and receiving concise, ready‑to‑present metrics.

Because the server operates over standard MCP streams (stdio), it integrates seamlessly with any client that supports the protocol, including desktop assistants and web‑based tools. Its modular design also means new Facebook API features can be added as additional MCP tools with minimal disruption to existing workflows. For developers building AI‑powered marketing solutions, the Facebook Ads MCP Server provides a reliable, low‑friction bridge to one of the world’s largest advertising platforms.