Comparison
Dify vs Facebook Ads Library MCP
Dify has more GitHub stars (158,661 vs 273). Dify was updated more recently (last commit 4d ago). Data comes straight from GitHub and refreshes daily.
Dify
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype…
$
git clone https://github.com/langgenius/dify
Facebook Ads Library MCP
Free, self-hosted MCP server that scrapes the public Facebook Ad Library (no API token) for competitive ad research — advertiser, copy, landing pages, CTAs, any country.
$
claude mcp add facebook-ads -- /abs/path/venv/bin/python /abs/path/facebook_ads_mcp_complete.py| Metric | Dify | Facebook Ads Library MCP |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 158,661 | 273 |
| Stars, last 7 days | +78 | n/a |
| Forks | 25,074 | 47 |
| Upvotes | 0 | 0 |
| Language | TypeScript | Python |
| License | n/a | MIT |
| Last commit | 4d ago | 1mo ago |
| Created | Apr 2023 | Jul 2025 |
| Categories | AI & LLM tooling, Memory & knowledge, Frameworks & SDKs | Browser automation, Memory & knowledge, AI & LLM tooling |