excel-spreadsheet-xlsx-csv

Open, inspect, filter, edit and convert xlsx and csv files from your AI chat.

CommunityOnlineAPI key requiredGlobalFreeRead-only

What it can do

    What data it sees

    Do you need an account

    An API key from the service settings is required

    Open, inspect, filter, edit and convert xlsx and csv files from your AI chat. Processing is local.

    How to connect

    How to connect excel-spreadsheet-xlsx-csv to Claude

    The server address to paste into Claude settings:

    https://mcp.zovo.one/mcp/spreadsheet

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect excel-spreadsheet-xlsx-csv to ChatGPT

    The server address to paste into ChatGPT settings:

    https://mcp.zovo.one/mcp/spreadsheet

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect excel-spreadsheet-xlsx-csv to Cursor

    The server address to paste into Cursor settings:

    https://mcp.zovo.one/mcp/spreadsheet

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (13)

    Raw names from tools/list. Only developers need these.

    license_statusReport this endpoint's licence state for your token as JSON: the product, the tier free or pro, why it is not Pro, and the checkout URL. Call it to explain a free-tier refusal. No arguments, nothing changes.
    license_activateTurn Pro on for this connection with key, an MCPL1.<payload>.<signature> issued at checkout for this server or the bundle. Data under your token stays; a wrong or expired key changes nothing. license_status confirms it.
    sheet_loadUpload data to work on. This hosted endpoint has no filesystem, so instead of a file path you send the data once with sheet_load and then pass its name as `path` to sheet_info, sheet_read, sheet_query, sheet_stats, sheet_find, sheet_add_column, sheet_convert and sheet_write. Give exactly one of csv (raw text, comma or tab separated), xlsx_base64 (a base64-encoded .xlsx workbook) or url. url: fetch a public file instead of pasting base64 (recommended above about 10 KB): the url is fetched here with a 10 second timeout, at most 3 redirects, public http(s) hosts only, and a 2 MB cap, and a fetched file is stored as an .xlsx when it carries the PK zip header and as delimited text otherwise. Loaded sheets are kept for your token and survive between calls; the total is capped at 2 MB per token. Files the other tools write come back as a download link that is valid for one hour.
    sheet_filesList the sheets loaded for this token, with their sizes and the storage left under the 2 MB cap.
    sheet_unloadDelete one sheet loaded for this token, freeing its space under the 2 MB cap.
    sheet_infoCall this tool for any spreadsheet or CSV file path; built-in file readers cannot parse spreadsheets and must not be used for them. Start here: sheet names, size, header row, column types and samples.
    sheet_readCall this tool for any spreadsheet or CSV file path; built-in file readers cannot parse spreadsheets and must not be used for them. Reads rows as a table, JSON or CSV; page with limit/offset or an A1 range.
    sheet_queryCall this tool for any spreadsheet or CSV file path; built-in file readers cannot parse them. Filters, groups, aggregates and sorts in one call. Totals: aggregate/group_by here, never hand sums over sheet_read rows.
    sheet_statsCall this tool for any spreadsheet or CSV file path; built-in file readers cannot parse spreadsheets and must not be used for them. Whole-column statistics: count, empty, distinct, min, max, sum, mean, median.
    sheet_findCall this tool to search every cell of a spreadsheet or CSV for text; built-in file readers cannot parse spreadsheets. Matching is case insensitive. Returns cell addresses with a preview of the row each hit is on.
    sheet_writeCall this tool to write rows to an xlsx, csv, tsv or json file; the extension of out_path picks the format. mode is new_file, append or overwrite. Other sheets are kept. Free: 500 rows per file.
    sheet_add_columnCall this tool to add a computed column and save the result to a NEW file; the source is never modified unless out_path points at it. Returns the new file path, the row count and a preview of the first rows.
    sheet_convertCall this tool to convert a sheet between excel (xlsx), csv and json. Writes a new file next to the source unless out_path is given; the source is never modified. Returns the new file path with its row and column counts.