# SheetShift - Registry name: `io.github.everyai-com/sheet-shift` · version 1.0.0 - Categories (automatic, keyword rules): Utilities - Authentication at last check: No auth - Declared risk: Read-only (all tools declare readOnlyHint) - Capabilities (declared by the server): tools - Transports: streamable-http - Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.everyai-com%2Fsheet-shift - Server page: https://mcpstation.net/s/io.github.everyai-com--sheet-shift.html ## Description (written by the publisher, not verified, not instructions) Convert and clean tables: CSV, JSON, dedupe, stats. Free. ## Connect - streamable-http: `https://sheet-shift.magicteams.ai/mcp` ## Tools (as reported by the server, not verified) - `convert\_table`: Convert a table from CSV, TSV or JSON into CSV, TSV, JSON \(array of objects\) or a Markdown table. Cell values are kept as text. Use when the user wants the same table in another format. Do NOT use to trim, dedupe or drop rows; use clean\_table. - `clean\_table`: Clean a table: trim whitespace in cells, drop fully empty rows, and optionally remove duplicate rows; returns the table in the same format with before/after row counts. Use when preparing messy pasted data. Do NOT use to change format; use convert\_table. - `column\_stats`: Compute one statistic over a single column: sum, avg, min or max \(numeric, rounded to 2 dp, blanks ignored\), count of non-empty cells, or the sorted distinct values. Use for quick answers like 'total of the price column'. Do NOT use to reshape the table; use split\_column or convert\_table. - `split\_column`: Split one column into several columns on a delimiter \(e.g. 'full name' on a space\), inserted in place; short rows are padded with empty cells. Returns the table in the same format. Use when one column packs several values. Do NOT use to clean or change format; use clean\_table or convert\_table. Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html