{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_w6gh7y6u2myt","handle":"sheetshift","url":"https://wellknown.network/agents/sheetshift","links":{"self":"https://wellknown.network/agents/sheetshift/record.json","html":"https://wellknown.network/agents/sheetshift","markdown":"https://wellknown.network/agents/sheetshift/record.md","api":"https://wellknown.network/api/v1/agents/sheetshift","status":"https://wellknown.network/api/v1/agents/sheetshift/status","claim":"https://wellknown.network/agents/sheetshift/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/sheetshift/claim.json","badge":"https://wellknown.network/agents/sheetshift/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/sheetshift/history","tools":"https://wellknown.network/api/v1/agents/sheetshift/tools"},"ard":{"identifier":"urn:air:sheet-shift.magicteams.ai:server:sheetshift","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"SheetShift","summary":"Convert and clean tables: CSV, JSON, dedupe, stats. Free.","description":"Convert and clean tables: CSV, JSON, dedupe, stats. Free.","publisher":{"name":"everyai-com","url":null},"homepage":null,"repository":"https://github.com/everyai-com/sahadeva","version":"1.0.0","license":null,"protocols":["mcp"],"tags":[],"pricing":null,"endpoints":[{"url":"https://sheet-shift.magicteams.ai/mcp","type":"mcp_streamable_http","auth":null,"probeable":true}],"skills":null,"tools":null,"extra":{"updatedAt":"2026-10-02T15:40:03.771605Z","publishedAt":"2026-10-02T15:40:03.771605Z","registryName":"io.github.everyai-com/sheet-shift"},"attribution":{"kind":"mcp_registry","name":"mcp_registry","repoUrl":"mcp_registry","summary":"mcp_registry","version":"mcp_registry","description":"mcp_registry","publisherName":"mcp_registry"}},"derived":{"capabilities":[{"slug":"documents.conversion","name":"Document Conversion","confidence":0.911,"provenance":"derived"},{"slug":"documents.spreadsheets","name":"Spreadsheets","confidence":0.807,"provenance":"derived"},{"slug":"content.writing","name":"Writing & Editing","confidence":0.51,"provenance":"derived"}],"categories":["content","documents"],"language":"en"},"observed":{"status":"live","statusReason":"Responded 2h ago.","lastOkAt":"2026-10-09T23:30:42.127Z","lastProbedAt":"2026-10-09T23:30:42.127Z","statusComputedAt":"2026-10-09T23:31:23.617Z","reliability30d":{"probes":21,"successRate":1,"p50Ms":19,"basis":"service","measures":{"availability":"availability","latency":"response time","tools":"tool surface observed","summary":"Checks reached the service itself."},"checks":{"total":21,"ok":21,"authBoundaryOk":0,"serviceOk":21,"note":"Counted from the observation rows for the window, checks of the server only (HTTP, A2A card, MCP initialize). ok = authBoundaryOk + serviceOk. `probes` is the sum of daily rollups and includes registry checks, so it can differ from `total`."}},"latestObservations":[{"at":"2026-10-09T23:30:42.127Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":29,"error":null,"detail":{"tools":[{"name":"convert_table","description":"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"},{"name":"clean_table","description":"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 "},{"name":"column_stats","description":"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"},{"name":"split_column","description":"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"}],"toolCount":4,"toolsHash":"11dad2d92f44e9dd6e05ef248ef58fd87ad6caaf03eaefca20d9f2b57b86a606","serverName":"sheet-shift","capabilities":["tools"],"serverVersion":"1.0.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-09T17:29:03.127Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":72,"error":null,"detail":{"tools":[{"name":"convert_table","description":"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"},{"name":"clean_table","description":"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 "},{"name":"column_stats","description":"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"},{"name":"split_column","description":"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"}],"toolCount":4,"toolsHash":"11dad2d92f44e9dd6e05ef248ef58fd87ad6caaf03eaefca20d9f2b57b86a606","serverName":"sheet-shift","capabilities":["tools"],"serverVersion":"1.0.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-09T11:26:06.666Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":18,"error":null,"detail":{"tools":[{"name":"convert_table","description":"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"},{"name":"clean_table","description":"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 "},{"name":"column_stats","description":"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"},{"name":"split_column","description":"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"}],"toolCount":4,"toolsHash":"11dad2d92f44e9dd6e05ef248ef58fd87ad6caaf03eaefca20d9f2b57b86a606","serverName":"sheet-shift","capabilities":["tools"],"serverVersion":"1.0.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-09T04:29:01.391Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":8,"error":null,"detail":{"tools":[{"name":"convert_table","description":"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"},{"name":"clean_table","description":"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 "},{"name":"column_stats","description":"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"},{"name":"split_column","description":"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"}],"toolCount":4,"toolsHash":"11dad2d92f44e9dd6e05ef248ef58fd87ad6caaf03eaefca20d9f2b57b86a606","serverName":"sheet-shift","capabilities":["tools"],"serverVersion":"1.0.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-08T22:24:16.193Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":9,"error":null,"detail":{"tools":[{"name":"convert_table","description":"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"},{"name":"clean_table","description":"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 "},{"name":"column_stats","description":"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"},{"name":"split_column","description":"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"}],"toolCount":4,"toolsHash":"11dad2d92f44e9dd6e05ef248ef58fd87ad6caaf03eaefca20d9f2b57b86a606","serverName":"sheet-shift","capabilities":["tools"],"serverVersion":"1.0.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-08T16:29:41.572Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":28,"error":null,"detail":{"tools":[{"name":"convert_table","description":"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"},{"name":"clean_table","description":"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 "},{"name":"column_stats","description":"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"},{"name":"split_column","description":"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"}],"toolCount":4,"toolsHash":"11dad2d92f44e9dd6e05ef248ef58fd87ad6caaf03eaefca20d9f2b57b86a606","serverName":"sheet-shift","capabilities":["tools"],"serverVersion":"1.0.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-08T10:23:38.138Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":15,"error":null,"detail":{"tools":[{"name":"convert_table","description":"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"},{"name":"clean_table","description":"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 "},{"name":"column_stats","description":"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"},{"name":"split_column","description":"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"}],"toolCount":4,"toolsHash":"11dad2d92f44e9dd6e05ef248ef58fd87ad6caaf03eaefca20d9f2b57b86a606","serverName":"sheet-shift","capabilities":["tools"],"serverVersion":"1.0.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-08T03:23:40.211Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":21,"error":null,"detail":{"tools":[{"name":"convert_table","description":"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"},{"name":"clean_table","description":"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 "},{"name":"column_stats","description":"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"},{"name":"split_column","description":"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"}],"toolCount":4,"toolsHash":"11dad2d92f44e9dd6e05ef248ef58fd87ad6caaf03eaefca20d9f2b57b86a606","serverName":"sheet-shift","capabilities":["tools"],"serverVersion":"1.0.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-07T20:31:02.478Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":17,"error":null,"detail":{"tools":[{"name":"convert_table","description":"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"},{"name":"clean_table","description":"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 "},{"name":"column_stats","description":"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"},{"name":"split_column","description":"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"}],"toolCount":4,"toolsHash":"11dad2d92f44e9dd6e05ef248ef58fd87ad6caaf03eaefca20d9f2b57b86a606","serverName":"sheet-shift","capabilities":["tools"],"serverVersion":"1.0.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-07T14:31:42.733Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":17,"error":null,"detail":{"tools":[{"name":"convert_table","description":"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"},{"name":"clean_table","description":"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 "},{"name":"column_stats","description":"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"},{"name":"split_column","description":"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"}],"toolCount":4,"toolsHash":"11dad2d92f44e9dd6e05ef248ef58fd87ad6caaf03eaefca20d9f2b57b86a606","serverName":"sheet-shift","capabilities":["tools"],"serverVersion":"1.0.0","protocolVersion":"2025-06-18"}}],"tools":[{"name":"convert_table","description":"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"},{"name":"clean_table","description":"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 "},{"name":"column_stats","description":"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"},{"name":"split_column","description":"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"}],"package":null,"toolSurface":{"id":"ts_hzjb2m62qw93","endpointId":"ep_m2q8a9h94mpb","hash":"11dad2d92f44e9dd6e05ef248ef58fd87ad6caaf03eaefca20d9f2b57b86a606","toolCount":4,"serverName":"sheet-shift","serverVersion":"1.0.0","protocolVersion":"2025-06-18","firstSeenAt":"2026-10-06T19:29:15.629Z","lastSeenAt":"2026-10-09T23:30:42.116Z","observations":13,"toolNames":["convert_table","clean_table","column_stats","split_column"],"distinctSurfaces":2},"endpointFacts":[{"id":"ep_m2q8a9h94mpb","url":"https://sheet-shift.magicteams.ai/mcp","type":"mcp_streamable_http","factsCheckedAt":"2026-10-06T19:29:15.656Z","auth":{"observedAt":"2026-10-06T19:29:15.675Z","authRequired":false,"scheme":null,"resourceMetadata":null,"authorizationServer":null,"conformance":{"dpop":false,"rfc8414":false,"rfc9728":false,"pkceS256":false,"clientIdMetadataDocument":false,"dynamicClientRegistration":false}},"tls":{"observedAt":"2026-10-06T19:29:15.689Z","protocol":"TLSv1.3","chainValid":true,"chainError":null,"hostMatches":true,"subject":"magicteams.ai","issuer":{"commonName":"WE1","organization":"Google Trust Services"},"validFrom":"2026-10-02T14:31:52.000Z","validTo":"2026-12-31T15:31:36.000Z","daysToExpiry":82,"sanCount":3,"fingerprint256":"C1:F7:AF:2D:17:9C:85:CE:FE:0F:52:16:1C:D0:C8:7B:FD:E3:11:EA:6A:72:F7:8F:41:42:C7:DB:68:2E:16:D5"}}]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"mcp_registry","key":"io.github.everyai-com/sheet-shift","url":"https://registry.modelcontextprotocol.io/v0/servers/io.github.everyai-com%2Fsheet-shift","firstSeenAt":"2026-10-04T12:18:45.445Z","fetchedAt":"2026-10-07T11:20:05.315Z","normalizedAt":"2026-10-07T11:20:05.315Z"}]},"firstSeenAt":"2026-10-04T12:18:45.445Z","updatedAt":"2026-10-09T23:32:29.954Z"}