Home/AI Agents/meta-ads-mcp
meta-ads-mcp logo

meta-ads-mcp

pipeboard-co/meta-ads-mcp

Meta Ads MCP server for Claude, ChatGPT, Perplexity & Cursor

GraphCanon updated 3w · GitHub synced 3w

1.1k stars254 forksLast push 4w Python Other

Decision brief

meta-ads-mcp offers a hosted service specifically designed for integrating with AI agents to manage advertising on Meta platforms such as Facebook and Instagram through the Model Context Protocol (MCP).

Good fit when

  • When you need an out-of-the-box solution that integrates seamlessly with popular AI tools like Claude or ChatGPT to automate ad placements on both Facebook and Instagram.
  • If your business already operates within Pipeboard's ecosystem, as meta-ads-mcp is part of their multi-platform family, including Google, TikTok, Snap, and Reddit.

Avoid when

  • When self-hosting is preferred for tighter control over server configurations and security settings.
  • If your advertising campaigns are primarily focused on non-Meta platforms such as Twitter or LinkedIn, then the integration services offered by meta-ads-mcp would not be applicable to your needs.
Pricing:
freemium - A free plan is offered, designed for initial trials or small-scale operations. Additional costs are likely for advanced features or larger volumes of ad placements.
Requirements:
This service does not require self-hosting; it operates as a hosted solution.

Observed Jul 16, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (3d since push)
As of 3w
Provenance
Not a fork · Organization account
As of 3w
Security (OSV)
No MCP manifest
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install meta-ads-mcp
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A hosted Meta Ads MCP (Model Context Protocol) server integrating with AI agents like Claude and ChatGPT for advertising on platforms like Facebook and Instagram.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Jul 27, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Jul 27, 2026

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Jul 27, 2026

MCP server
No MCP server detected

Source: repo_scan · Jul 27, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 27, 2026

Categories

Tags

README

Getting started with Remote MCP (Recommended)

The fastest and most reliable way to get started is to 🚀 Get started with our Meta Ads Remote MCP. Our cloud service uses streamable HTTP transport for reliable, scalable access to your Meta Ads account. No technical setup required — just connect and start launching, updating, and analyzing campaigns with AI!


Local Installation (Advanced Technical Users Only)

🚀 We strongly recommend using Remote MCP instead - it's faster, more reliable, and requires no technical setup.

Meta Ads MCP also supports a local streamable HTTP transport, allowing you to run it as a standalone HTTP API for web applications and custom integrations. See Streamable HTTP Setup Guide for complete instructions.


Local Installation (Advanced Technical Users)

For advanced users who need to self-host, the package can be installed from source. Local installations require creating your own Meta Developer App. We recommend using Remote MCP for a simpler experience.


Licensing

Meta Ads MCP is licensed under the Business Source License 1.1, which means:

  • Free to use for individual and business purposes
  • Modify and customize as needed
  • Redistribute to others
  • Becomes fully open source (Apache 2.0) on January 1, 2029

The only restriction is that you cannot offer this as a competing hosted service. For questions about commercial licensing, please contact us.


Local Installation Issues

For local installation issues, refer to the source repository. For the easiest experience, we recommend using Remote MCP instead.

For agents

This page has a .md twin and JSON over the API.

Was this helpful?

Anonymous feedback helps us improve pages and translations.