Search / io.github.everyai-com/sheet-shift
protogridR0· no sign-inConvert and clean tables: CSV, JSON, dedupe, stats. Free.
v1.0.0 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"sheet-shift": {
"type": "http",
"url": "https://sheet-shift.magicteams.ai/mcp"
}
}
}claude mcp add --transport http sheet-shift https://sheet-shift.magicteams.ai/mcp[mcp_servers.sheet-shift]
url = "https://sheet-shift.magicteams.ai/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"sheet-shift": {
"type": "remote",
"url": "https://sheet-shift.magicteams.ai/mcp",
"enabled": true
}
}
}{
"mcpServers": {
"sheet-shift": {
"type": "http",
"url": "https://sheet-shift.magicteams.ai/mcp"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=sheet-shift&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vc2hlZXQtc2hpZnQubWFnaWN0ZWFtcy5haS9tY3AifQ%3D%3D"
}{
"servers": {
"sheet-shift": {
"type": "http",
"url": "https://sheet-shift.magicteams.ai/mcp"
}
}
}{
"mcpServers": {
"sheet-shift": {
"httpUrl": "https://sheet-shift.magicteams.ai/mcp"
}
}
}extensions:
"sheet-shift":
enabled: true
name: "sheet-shift"
type: streamable_http
uri: "https://sheet-shift.magicteams.ai/mcp"
timeout: 300
protocol.modernsupports 2026-07-28 (server/discover)protocol.statelessanswers without a sessionprotocol.transportstreamable HTTPprotocol.list_ttltools/list carries no ttlMs, so clients re-fetch itauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_lengthdescriptions are concisetools.schemasevery tool has an object input schematools.annotations4 of 4 tools declare readOnlyHint or destructiveHinttools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHinttools.token_costabout 1,137 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changes8 tool changes in 30 daysstability.rug_pull8 tools kept their name but changed most of their description in 30 days; review before trusting themdeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packagesplit_columnchangeddescription, input schema, output schema, annotationsmeaning changedSplit a column into multiple columns by a delimiter. Use when you need to divide a single column into multiple columns based on a specific delimiter. Do NOT use when you need to convert data types or clean data; use convert_table or clean_table instead.
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.
column_statschangeddescription, input schema, output schema, annotationsmeaning changedCalculate statistics over one column in a table. Use when needing summary statistics for a single column; NOT for multi-column analysis. Use 'convert_table' for transformations.
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.
clean_tablechangeddescription, input schema, output schema, annotationsmeaning changedClean a table string by trimming cells, dropping empty rows, and deduplicating rows. Use when preparing data for analysis; NOT for transforming data types. Use convert_table to change data types.
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.
convert_tablechangeddescription, input schema, output schema, annotationsmeaning changedConvert a table string between CSV, TSV, JSON and Markdown. Use when you need to change the table format. Do NOT use when you need to clean the table; use clean_table instead.
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.
split_columnchangedtitle, description, input schema, output schema, annotationsmeaning changedSplit one column on a delimiter into new columns.
Split a column into multiple columns by a delimiter. Use when you need to divide a single column into multiple columns based on a specific delimiter. Do NOT use when you need to convert data types or clean data; use convert_table or clean_table instead.
column_statschangedtitle, description, input schema, output schema, annotationsmeaning changedSum/avg/min/max/count/distinct over one column (name or 0-based index).
Calculate statistics over one column in a table. Use when needing summary statistics for a single column; NOT for multi-column analysis. Use 'convert_table' for transformations.
clean_tablechangedtitle, description, input schema, output schema, annotationsmeaning changedTrim cells, drop empty rows, dedupe rows in a table string.
Clean a table string by trimming cells, dropping empty rows, and deduplicating rows. Use when preparing data for analysis; NOT for transforming data types. Use convert_table to change data types.
convert_tablechangedtitle, description, input schema, output schema, annotationsmeaning changedConvert a table string between CSV, TSV, JSON and Markdown.
Convert a table string between CSV, TSV, JSON and Markdown. Use when you need to change the table format. Do NOT use when you need to clean the table; use clean_table instead.
Full history: list_changes · trend: quality JSON.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +reachable +uptime-94% +updated-18d-ago -duplicate-repo(15 names)
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://sheet-shift.magicteams.ai/mcp streamable-http | none | yes | 94% | 225 ms | 2026-07-28, 2025-11-25, 2025-06-18, 2025-03-26, 2024-11-05 | 2026-10-20 |
clean_tableread-only | 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_statsread-only | 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. |
convert_tableread-only | 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. |
split_columnread-only | 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. |
Schemas: list_tools.
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{
"name": "io.github.everyai-com/sheet-shift",
"title": "SheetShift",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://sheet-shift.magicteams.ai/mcp",
"type": "streamable-http"
}
],
"version": "1.0.0",
"repository": {
"url": "https://github.com/everyai-com/sahadeva",
"source": "github"
},
"description": "Convert and clean tables: CSV, JSON, dedupe, stats. Free."
}