Comparison
DataSnipe MCP vs Dify
Dify has more GitHub stars (158,628 vs 0). Dify was updated more recently (last commit 4h ago). Data comes straight from GitHub and refreshes daily.
DataSnipe MCP
Extract structured data points from research papers and other documents with an LLM.
$
claude mcp add --transport http datasnipe-mcp https://datasnipe.app/mcp
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| Metric | DataSnipe MCP | Dify |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 0 | 158,628 |
| Stars, last 7 days | n/a | +45 |
| Forks | 0 | 25,066 |
| Upvotes | 0 | 0 |
| Language | n/a | TypeScript |
| License | n/a | n/a |
| Last commit | n/a | 4h ago |
| Created | n/a | Apr 2023 |
| Categories | Data & analytics, AI & LLM tooling | AI & LLM tooling, Memory & knowledge, Frameworks & SDKs |