"excel" matching MCP servers:

Enables AI clients to read, write, and manage Excel workbooks (.xlsx/.xlsm) directly via openpyxl, with comprehensive tools for data, formatting, formulas, charts, and more.

Enables reading and writing Excel workbooks (.xlsx) through MCP. Supports listing sheets, tables, pivot tables, reading cell data, exporting to CSV/text/Markdown, and creating/modifying Excel files.

Enables managing Excel files in Microsoft 365 (OneDrive/SharePoint) through Microsoft Graph API, including creating workbooks, adding worksheets, creating tables, and reading or adding table rows via MCP tools.

An MCP server for safe .xlsx inspection and controlled workbook writes, enabling spreadsheet reads, search, filtering, aggregation, and preview-based writes with workspace confinement and audit logging.

Enables AI assistants to perform Excel file operations (create, read, write, format) without requiring Microsoft Excel installation.

Provides Excel file manipulation capabilities. This server enables workbook creation, data manipulation, formatting, and advanced Excel features.

Enables users to create, inspect, analyze, format, and chart Excel workbooks by having the client LLM write Python that runs in a fresh, network-restricted Docker container. Exposes a single execute_python tool with access to openpyxl, pandas, numpy, and matplotlib, persisting files between calls.

Enables AI agents to read Excel files with full content extraction, including embedded images, cell data, formulas, and merged cells, returning multimodal content for vision-capable models.

Generates formatted Excel (.xlsx) files from user requests and deposits them into Cleyrop project data.

Enables MCP agents to read messy lab and instrument spreadsheet exports by detecting headers, cleaning table bounds, parsing decimal commas, preserving LOD/LOQ qualifiers, and returning JSON rows with column metadata.

Attaches to already-open Excel workbooks on Windows via COM to enable live editing of cells, ranges, formatting, and comments, without launching or closing Excel itself.

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.

MCP server for reading and inspecting local Excel files (.xlsx, .xlsm, .xls, .xlsb, .ods) with tools for inspecting metadata, reading ranges, and profiling structure.

Enables LLMs to work with Excel and CSV files through structured tools for workbook operations, formatting, charts, ETL, analysis, and more.

Enables Excel automation via natural language, providing session-based workbook management, data manipulation, formulas, charts, and formatting through the Model Context Protocol.

Enables users to analyze local Excel and CSV files through natural language queries and a web dashboard while keeping data local. It supports saving specific analyses as reusable tools and building a custom analytics toolkit within Claude Desktop.

Read, write, analyze and test the VBA inside Excel, Word, PowerPoint and Access files, and edit the document around it. The file layer needs no Office installation and runs anywhere; running macros and tests needs Windows with Office.

A Model Context Protocol server that gives AI agents real-time access to Excel workbooks in OneDrive, answering natural-language questions with live data. It caches only sheet structure, never cell values, and fetches current ranges via Microsoft Graph for each query.

A Windows-based MCP server that enables AI assistants to manage Excel files through the desktop application, supporting workbook operations, data manipulation, and formula validation. It features robust safety tools including snapshot-based rollbacks, path restrictions, and comprehensive audit logging.

Enables AI agents to perform comprehensive Excel workbook operations with verified, freshness-labeled values and structural edits that preserve formulas, tables, and references, optionally using a private Excel instance for real recalculation and export.

Enables users to run DCF/NAV/CCA valuations, Fama-French 5-Factor cost of equity, KMV credit risk, derivatives pricing, and Excel/PDF/Word report review with IVS 2025, IFRS 13, and HKFRS 9 compliance.

Converts PDF, Word, Excel, and PowerPoint documents to Markdown using a pay-per-conversion model with USDC on Base via the x402 protocol.

Enables read-only SQL querying and exploration of data files (CSV, Parquet, JSON, Excel, etc.) via DuckDB, supporting local paths, globs, URLs, and S3 buckets.

MCP server for reading, writing, editing, formatting, and exporting Microsoft Office documents (Word, Excel, PowerPoint) via stdio JSON-RPC, with 47 tools and cross-platform support.

Enables natural-language querying of large Excel, Access, and Parquet datasets, returning executed SQL with results for verification. Exposes tools for status checking, table listing, and asking questions through MCP.

Enables AI agents to search and read Iranian listed companies’ Codal disclosures, including financial statements, EPS and monthly activity reports as tables, meeting decisions, and PDF/Excel links, plus company and fiscal-year lookups.

Enables retrieving ImagePME economic indicators (TVA and TDFC data) from the Ordre des experts-comptables by driving a real browser to log in, fill the form, and download results as Excel or PDF.

MCP server that profiles local data files (CSV, Parquet, JSON, Excel) and returns compact structured summaries with data-quality flags, enabling AI agents to understand datasets without seeing raw rows.

Enables data analysis on CSV/Excel files using pandas. Supports profiling, column interpretation, sandboxed code execution, and interactive chart generation.

Enables LLMs to profile and analyze tabular data files (CSV, Parquet, Excel, JSON) by extracting schema, statistics, data quality issues, and dtype suggestions, returning structured JSON.

Enables AI agents to list, read and download the files attached to Gmail messages, extracting text from PDFs, Word, Excel, PowerPoint and plain-text files straight into context or saving them to disk. It runs locally with read-only Gmail access, so attachments can be summarised, checked or analysed without leaving the chat.

Enables AI agents to query official Statistical Centre of Iran data read-only without an API key, covering CPI and inflation breakdowns, unemployment and participation rates, GDP and producer prices, census population by province and county, macro-indicator workbooks, release calendars, and any Excel table from a published release. Results come back as compact JSON with Jalali periods and Persian titles.

Converts customer-supplied PDF bank statements into checked Excel, CSV, or JSON with balance validation. Runs locally with your own MainBook API key or against MainBook's hosted endpoint, and it never connects to bank accounts.

Enables read-only profiling, comparison, total reconciliation, and formula integrity review of local Excel .xlsx and CSV files within a configured workspace, without modifying files or executing formulas.

Generates quality control plans and inspection reports from technical-drawing PDFs: tolerances, fits, threads, GD&T and surface finishes are extracted automatically by Imnoo's drawing analysis, numbered as balloons with acceptance limits and measuring instruments, and exported as a ballooned drawing PDF, an inspection package and an Excel measurement report.

MCP server that exposes local Python scripts as tools for AI clients (e.g. Claude Desktop), enabling directory tree generation, Excel-to-text conversion, Python code extraction, and text file merging.

Enables AI clients to search Xiaohongshu notes by brand and category, batch extract comments, and perform keyword/sentiment/heat analysis, with results exported as Excel and JSON reports.

Enables an AI assistant to read form structures and submissions from a Coletum account (read-only) and to produce Excel/CSV exports, Coletum-style or user-template PDFs, and photographic reports on request. It also stores preferences such as logo and company name and reports where each generated file was saved.

Keeps your job-application tracker in Excel, CSV or Google Sheets: follow-ups by your own rule, stale applications, funnel and reply times. Every write is previewed, confirmed, backed up and undoable.

Enables reading and extracting text from local documents (PDF, Word, Excel, PowerPoint, HWP, Markdown, CSV, etc.) without network access, and provides approval-gated summary saving and file organization.