what is Pandas MCP Server?
Pandas MCP Server is a server implementation that utilizes the Model Context Protocol (MCP) to handle CSV files and execute Pandas code, providing a robust environment for data processing.
how to use Pandas MCP Server?
To use the Pandas MCP Server, start the server by running python server.py, and then interact with it using an MCP client to access the available tools.
key features of Pandas MCP Server?
- Load CSV files with automatic encoding and delimiter detection.
- Execute custom Pandas code securely with detailed error handling.
- Limit file size to 100MB to optimize memory usage.
use cases of Pandas MCP Server?
- Data analysis and manipulation using Pandas.
- Automated processing of large CSV datasets.
- Integration with other applications via the Model Context Protocol.
FAQ from Pandas MCP Server?
- What are the requirements to run the server?
You need Python 3.11 or higher and the required packages installed via
pip install -r requirements.txt.
- How does the server handle security?
The server prevents execution of potentially harmful operations and provides detailed error messages to assist users.
- Can I contribute to the project?
Yes! Contributions are welcome through issues or pull requests.
what is Pandas MCP Server?
Pandas MCP Server is a server implementation that utilizes the Model Context Protocol (MCP) to handle CSV files and execute Pandas code, providing a robust environment for data processing.
how to use Pandas MCP Server?
To use the Pandas MCP Server, start the server by running python server.py, and then interact with it using an MCP client to access the available tools.
key features of Pandas MCP Server?
- Load CSV files with automatic encoding and delimiter detection.
- Execute custom Pandas code securely with detailed error handling.
- Limit file size to 100MB to optimize memory usage.
use cases of Pandas MCP Server?
- Data analysis and manipulation using Pandas.
- Automated processing of large CSV datasets.
- Integration with other applications via the Model Context Protocol.
FAQ from Pandas MCP Server?
- What are the requirements to run the server?
You need Python 3.11 or higher and the required packages installed via
pip install -r requirements.txt.
- How does the server handle security?
The server prevents execution of potentially harmful operations and provides detailed error messages to assist users.
- Can I contribute to the project?
Yes! Contributions are welcome through issues or pull requests.