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Safely let LLMs run code, manage files, search, and connect services.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "NATE-MCP-SERVER" yet — see the docs or source repo.
Use NATE-MCP-SERVER to run a Python script that reads sales.csv in the current directory, calculates monthly sales totals, returns the top 5 months, and saves the result as summary.json.
Returns the script output, monthly sales summary, and the generated summary.json file.
Use NATE-MCP-SERVER to search for English news from the past week about generative AI safety governance, select the 5 most relevant items, extract key points, and generate a Chinese summary document.
Outputs a list of search results, key points for each article, and a compiled Chinese summary document.
Through NATE-MCP-SERVER, connect to Gmail, find unread emails from the past 3 days with 'invoice' in the subject, extract sender, amount, and due date, then format them into a table and save it locally.
Returns the filtered email details, the structured table content, and the saved local file path.
Build, debug, and manage software tasks with natural language across LLMs.
Use AI and system tools for coding, ops diagnostics, and web automation.
A general MCP server for files, code analysis, async tasks, and secure transport.
Securely equips AI agents with executable tools for commands, search, and file operations.
Read Gmail and Drive with minimal context for small local LLMs.
Safely let LLMs operate Gmail, Drive, and Calendar via MCP.