"A guide for data cleaning and analysis in Excel" matching MCP servers:

An MCP server that answers natural-language questions over CSV, Excel, and SQL data by providing deterministic tools for loading, profiling, querying, cleaning, statistical analysis, visualization, and reporting. It enables LLMs to plan and interpret while all computation is done exactly through MCP tools.

Provides comprehensive data analysis utilities including statistical functions, probability distributions, and data processing tools through natural language.

Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.

MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.

An MCP server for data analysis and visualization supporting CSV and Excel files. It enables users to generate statistical summaries and create multi-dimensional charts like heatmaps and bar plots through natural language.

Enables to search, analyze, and export Douyin (TikTok China) video and user data, including interaction metrics, content length, and keyword trends.

A local-first MCP server that provides safe, governed read-only SQL access to SQLite and PostgreSQL, with validation, limits, task tracking, and report generation.

An MCP server that provides a semantic index and 14 bounded tools for AI agents to navigate Excel workbooks by symbols, references, and diagnostics, avoiding the need to read entire rows.

A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.

Enables AI assistants to read and write local Excel and CSV files, supporting editing, styling, and image insertion.

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 conversational data analysis of Excel/CSV files through natural language queries, powered by 395 Excel functions via HyperFormula and multi-provider AI. Supports advanced analytics, bulk operations, financial modeling, and large file processing with intelligent chunking.

Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.

Enables comprehensive Excel operations and financial calculations including investment analysis, rental property management, expense tracking, and automated financial reporting. Supports creating Excel workbooks with advanced financial formulas, cash flow projections, and tax calculations for accounting and finance workflows.

Enables local Excel workbooks to be read, modified, recalculated, and verified with screenshots through a single operation pipeline, automatically choosing openpyxl or Excel COM.

An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.

Local MCP server that connects Claude to real Excel .xlsx files for financial and operational analysis. Enables reading, comparing, cleaning, reconciling, and writing to Excel files without cloud dependency.

Enables AI agents to read real Excel files with messy layouts, auto-detecting header rows and handling merged cells to extract clean tabular data via MCP tools.

An MCP server for performing Excel file operations including read, write, and manipulation, with enterprise security features and VS Code integration.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.