proxy-intell/facebook-ads-library-mcp — MCP Server for Facebook ADs Library - Get instant answers from FB's ad library

Description and use

**Summary**
proxy‑intell/facebook‑ads‑library‑mcp is a Python‑based MCP (Model Context Protocol) server that wraps Facebook’s Ads Library API, letting AI assistants query real‑time ad data through a standard, tool‑agnostic interface. With 257 ★, recent commits (last update 2026‑07‑12) and clear SDK/CLI signals, it’s positioned as a production‑ready open‑source component for automating ad‑research workflows.

**Value**
The project turns the Facebook Ads Library—a valuable but siloed data source—into a reusable service that any AI model or automation pipeline can call via MCP, enabling consistent, low‑latency access to ad creatives, spend, and targeting details without custom API plumbing.

**Adoption Path**

1. **Spin up the server** (Docker image or pip install the repo).
2. **Configure API credentials** for the Facebook Marketing API.
3. **Consume the MCP endpoint** from your AI agent, RPA bot, or backend service using the provided Python SDK or a generic MCP client.
4. **Extend or wrap** additional logic (caching, rate‑limit handling, custom filters) as needed.

**Production Readiness**
The repo shows strong activity, a healthy star/fork count, and a well‑documented Python codebase, indicating it is battle‑tested enough for a pilot or even full deployment. While the license, security posture, and maintainer responsiveness still require a final review, the existing ecosystem signals (recent updates, clear integration points, and a focused topic list) suggest a high readiness level for production use.

Problem

proxy-intell/facebook-ads-library-mcp helps connect AI assistants to real tools and data through a standard protocol.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

MCP Server for Facebook ADs Library - Get instant answers from FB's ad library

Source