"Spreadsheets" matching MCP servers:

Data-first MCP server for reading and writing spreadsheets (.xlsx, .csv, .ods) - cell-level ops + DuckDB SQL engine.

Enables AI tools to normalize messy payroll spreadsheets (xlsx/xls/csv) into a standardized 10-column template for social insurance calculation, with automatic column detection, net-to-gross conversion, and cross-entity/month merging.

Pulls enterprise counts by NACE Rev.2 activity and size class from Eurostat and buckets them into SME and 250+ categories for the DTM TAM model, with tools to fill TAM spreadsheets directly.

An MCP server that drives Pages, Numbers and Keynote from Claude Code (or any MCP client): it generates documents, spreadsheets and presentations, and exports them to PDF or Word.

Connects to email inboxes via IMAP so Claude can search mail, extract receipts and invoices, and build categorized spending spreadsheets and offline dashboards. It also supports incremental sweeps and secure, read-only, in-memory credential handling.

Enables AI agents to directly create, read, edit, and save Excel (.xlsx) spreadsheets using natural language through the Model Context Protocol, supporting cells, sheets, formatting, and formulas without writing Python code.

Enables to read, write, format cells, create charts, use formulas, and manage Google Sheets spreadsheets directly from Claude, Cursor, or any MCP-compatible client.

Enables Claude to open, filter, search, summarize, and write local .xlsx, .xlsm, .xls, and .csv spreadsheets through ten tools, all running locally with no Microsoft Office installed. Access is sandboxed to folders you allow, with an optional read-only mode and an audit log of every file operation.

Enables creation and editing of Word, Excel, and PowerPoint documents offline using pure Python, supporting tools for documents, spreadsheets, and presentations.

Enables auditing of .xlsx workbooks locally and read-only, flagging formula errors, broken references, inconsistent formulas, typed-over values and other risks through both static checks and an independent Python recalculation engine, with tools to run a full audit or inspect a single cell.

Enables MCP clients to read, create, update, and summarize .xlsx spreadsheets in an isolated directory, with resources for catalog and metadata, tools for range reading, row appending, cell updates, and numeric summaries, plus a reusable sales-analysis prompt.

Feishu Access Bridge enables reading Feishu (Lark) Wiki pages, documents, spreadsheets, and multi-dimensional tables. It supports user OAuth, enterprise app, or browser session access modes via CLI and MCP tools.

An MCP server for automating Google Workspace applications including Sheets, Apps Script, Drive, Docs, and Gmail. It enables users to manipulate spreadsheets, edit scripts, manage files, and send emails directly from conversational AI interfaces.

Provides tools for reading, modifying, and analyzing Google Sheets, as well as searching and managing Google Drive spreadsheets with access control.

An MCP server that lets AI assistants read and visually analyze local documents — PDFs, Excel spreadsheets, CSV files, Word documents, PowerPoint presentations, and images.

Enables AI assistants to access, search, and analyze Google Spreadsheets through the Model Context Protocol. Supports both OAuth 2.0 for private sheets and API key authentication for public sheets, with tools for listing, reading, and searching spreadsheet data.

MCP server for Google Sheets integration that enables AI assistants to read, write, and manage Google Spreadsheets.

A locally running MCP server that provides cell-level and formatting-level control over Google Sheets via the Sheets API v4, enabling reading, writing, formatting, and managing spreadsheets through natural language.

Enables agents to synthesize multi-tab enterprise spreadsheet financial models, detect circular references, compile formula dependency DAGs with functions like SUMIFS/XLOOKUP/CAGR/NPV, and evaluate deterministic preview cell matrices.

Open-source MCP hub providing a single endpoint for AI agents to access dozens of business integrations (CRMs, spreadsheets, telephony, ads) with multi-tenancy, OAuth, and context-efficient tool discovery.

Enables agents to break high-level business objectives into dependency-ordered sub-task graphs and then directly generate the finished deliverables, such as financial spreadsheets, executive presentations, and analytical reports. It runs as a zero-dependency Python MCP server over JSON-RPC stdio, adding deterministic authorization, role-boundary validation, and telemetry.

Enables MCP clients such as Claude, ChatGPT and Cursor to answer business questions about sales, customers, orders and spreadsheets in natural language by reading live Postgres/SQLite databases and Google Sheets without exporting files or gaining write access. Guardrails include AST-based read-only SQL validation, read-only database roles, row/byte caps with pagination, PII masking, bearer-token auth for remote HTTP use, and a full JSONL audit log of every tool call.

Gives Claude or any other MCP client access to Google Sheets: reading and writing ranges, creating spreadsheets and sheets, appending rows, searching cells, and sharing access. It authenticates through a Google service account and also supports listing available spreadsheets and retrieving spreadsheet metadata.

Converts PDFs, Office files, spreadsheets, emails, audio, and more to Markdown locally, enabling AI assistants to read and process them without cloud upload.

Enables AI agents to read, write, analyze, and transform Excel spreadsheets (.xlsx) through the Model Context Protocol.

Auto-generates MCP servers from any data source, enabling AI clients to query databases, spreadsheets, and APIs with zero code.

Enables AI-powered job searching across multiple platforms using natural language or CV uploads, ranking results by shortlisting likelihood and generating detailed spreadsheets. Integrates with Claude to perform full job searches, preview query interpretation, and manage platform configurations.

Enables irreversible anonymisation of documents and spreadsheets (PDF, Word, PowerPoint, HTML, Excel, CSV) into consistent pseudonymised Markdown before they reach an AI, keeping names, national IDs, bank details and contact data unrecoverable. Runs as a free online HTTP endpoint needing no key, or locally with the full engine bundled so nothing leaves the machine.

A set of five independent MCP servers for Google Workspace (Gmail, Calendar, Drive, Sheets, Docs) enabling secure access and management of email, calendar events, files, spreadsheets, and documents. Features OAuth 2.1 with per-resource tokens and uses stable Google product APIs.

Enables AI assistants to read WeCom online spreadsheets (read-only) from a shared link, listing worksheets and data ranges, reading text, formatting, and cell images, and searching sheet contents using each caller's own login cookie.