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Execute Python, bash, file operations, and text search over Streamable HTTP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Python Server - Streamable HTTP" yet — see the docs or source repo.
Using the MCP Python Server, read ./data/sales.csv, calculate total sales by region, and output a table of the top 5 regions by sales.
Returns the execution result, including a summary table or computed analysis.
Use the text search feature to scan all .log files under ./logs, find lines containing 'ERROR' or 'Timeout', and summarize them grouped by filename.
Returns matched error lines and a grouped summary by file.
Through the MCP Python Server, run a bash command to list files in the current directory, save the result to report.txt, then read the file and return its contents.
Returns the command status, generated file details, and the contents of report.txt.
Securely equips AI agents with executable tools for commands, search, and file operations.
Create isolated Kubernetes Pod sessions for shell, files, and Node.js execution.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Build and understand a simple MCP server with streamable HTTP transport.
Example MCP Streamable HTTP client and server implementations in Python and TypeScript.
Build a simple MCP tool server with streaming HTTP support.