by angelafeliciaa · MCP 服务器 · ★ 20
TabulaRAG A fast-ingesting tabular data MCP RAG tool backed with cell citations. Upload a CSV or TSV, then query it in natural language. Results include cell-level citations so you can trace exactly where each answer came from. We also have multi-role access where admin users can add, delete, edit datasets as well as invite users to their enterprise/organization via invite codes.
| Stars | 20 |
| Forks | 0 |
| Language | Python |
| Category | MCP 服务器 |
| License | MIT |
| Quality Score | 39.75/100 |
| Open Issues | 14 |
| Last Updated | 2026-03-13 |
| Created | 2026-02-20 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~193k |
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tabulaRAG is A fast-ingesting tabular data MCP RAG tool backed with cell citations.. It is categorized as a MCP 服务器 with 20 GitHub stars.
tabulaRAG is primarily written in Python. It covers topics such as agent, llm, mcp.
You can find installation instructions and usage details in the tabulaRAG GitHub repository at github.com/angelafeliciaa/tabulaRAG. The project has 20 stars and 0 forks, indicating an active community.
tabulaRAG is released under the MIT license, making it free to use and modify according to the license terms.