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by knowledgestack · MCP Server · ★ 62
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📊 Make XLSX LLM Ready 🤖 ks-xlsx-parser — the open-source Python library that parses Excel (.xlsx) files into citation-ready JSON for LLMs, RAG pipelines, and AI agents (LangChain
| Stars | 62 |
| Forks | 8 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 57.9689048379382/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-16 |
| Created | 2026-03-02 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~21k |
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excel-parser is XLSX parser for LLMs, RAG, LangChain, LangGraph, CrewAI, Claude, MCP — turns Excel (.xlsx) into citation-ready JSON with formulas, charts, dependency graphs, and token-counted chunks. Open-source Pyth. It is categorized as a MCP Server with 62 GitHub stars.
excel-parser is primarily written in Python. It covers topics such as agents, citations, crewai.
You can find installation instructions and usage details in the excel-parser GitHub repository at github.com/knowledgestack/excel-parser. The project has 62 stars and 8 forks, indicating an active community.
excel-parser is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to excel-parser on Agent Skills Hub include oreilly-ai-agents, open-extract, ai-agent-tools-catalog. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.