Comparison
Dify vs MCP Server Taiwan Weather
Dify has more GitHub stars (158,661 vs 0). Dify was updated more recently (last commit 6d 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/difyMCP Server Taiwan Weather
用於取得臺灣中央氣象署 API 資料的 Model Context Protocol (MCP) Server
$
npx -y @gonetone/mcp-server-taiwan-weather| Metric | Dify | MCP Server Taiwan Weather |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 158,661 | 0 |
| Stars, last 7 days | +78 | n/a |
| Forks | 25,074 | 0 |
| Upvotes | 0 | 0 |
| Language | TypeScript | n/a |
| License | n/a | n/a |
| Last commit | 6d ago | n/a |
| Created | Apr 2023 | n/a |
| Categories | AI & LLM tooling, Memory & knowledge, Frameworks & SDKs | Memory & knowledge, AI & LLM tooling |