a year ago
research-and-dataUn potente servidor de análisis de datos construido con FastMCP que proporciona herramientas especializadas para el procesamiento, análisis y visualización de datos, accesible a través de una interfaz web moderna construida con Streamlit.
Overview
What is MCP Data Analytics Server?
MCP Data Analytics Server is a powerful data analysis server built with FastMCP that provides specialized tools for data processing, analysis, and visualization, accessible through a modern web interface built with Streamlit.
How to use MCP Data Analytics Server?
To use the MCP Data Analytics Server, clone the repository, install the dependencies, configure your API key, and run the server and client using the provided commands. Access the interface via your web browser at http://localhost:8501.
Key features of MCP Data Analytics Server?
- File Management: Analyze, create, and read documents.
- Data Analysis: Statistics, pivot tables, type detection.
- Visualization: Interactive graphs with Plotly.
- Web Tools: GitHub search, web scraping, file downloads.
- Conversion: Between CSV, JSON, Excel, Parquet formats.
Use cases of MCP Data Analytics Server?
- Analyzing sales data from CSV files.
- Creating visualizations for data presentations.
- Conducting statistical analysis on datasets.
- Performing web scraping to gather data from websites.
- Converting data files between different formats.
FAQ from MCP Data Analytics Server?
- What programming language is used?
The server is built using Python 3.8 and above.
- Is there a license for this project?
Yes, it is licensed under the MIT License.
- How can I contribute to the project?
You can contribute by submitting issues or pull requests on the GitHub repository.