"Microsoft Excel and Related Resources" matching MCP servers:

Enables MCP clients to create and manipulate Excel workbooks programmatically, including sheets, cell data, formatting, formulas, charts, and pivot tables.

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

Enables AI assistants to read, write, format, and analyze Excel files with 34 tools, including real-time editing on macOS with Microsoft Excel.

A Model Context Protocol (MCP) server that lets you manipulate Excel files without needing Microsoft Excel installed. Create, read, and modify Excel workbooks with your AI agent.

Gives Claude deep tool-level control over Microsoft Excel files (.xlsx, .xlsm, .csv, .tsv) with 164 tools across 24 modules for reading, writing, formatting, formulas, charts, data analysis, and more.

Enables manipulation of Excel files including creating, reading, writing data, formatting, charts, pivot tables, and worksheet management via natural language.

Enables AI coding assistants to automate live desktop spreadsheet sessions with real-time visual feedback and to create, transform, and extract .xlsx files headlessly. It supports formulas, formatting, charts, PDF export, data analysis, and Markdown/JSON interchange.

An MCP server that enables creating, reading, and modifying Excel workbooks, including formulas, formatting, charts, and pivot tables, without requiring Microsoft Excel.

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

Enables AI assistants to perform Excel file operations such as reading, writing, formatting, and chart creation through the Model Context Protocol.

Enables users to create, validate, view, and export system stock-and-flow maps from a versioned JSON model through MCP-capable hosts over local stdio or hosted Streamable HTTP. Supports causal-loop and nested-level mapping while keeping submitted model content with the caller and requiring no LLM provider key.

Enables Codex to control a Gephi 3D network view through natural language, including network generation, 3D layout, node focus and neighbor highlighting, layered views, and PNG/PDF export.

An optimized Excel MCP server with 25+ tools for creating, reading, writing, formatting, and analyzing Excel files, including pivot tables and charts, without requiring Microsoft Excel.

Options analytics an agent can drive: import a permitted chain, solve implied volatility, build a sixteen-Greek ladder, map dealer gamma walls, rank twenty-three structures, run a GARCH-t simulation with a convergence gate, and backtest with modelled premiums. Twelve stdio tools; every output is a schema-validated JSON file with source, assumptions and a degraded flag. Research only, no orders.

Enables LLMs to generate visual summary reports from CSV datasets using MCP Resources, Tools, and Prompts, without exposing raw data to the model.

MCP server that exposes ArchSmith's diagram rendering and validation as tools, along with schema and registry resources, enabling AI agents to generate consistent SVG architecture diagrams from validated JSON descriptions.

Enables creating and deploying KoboToolbox XLSForm questionnaires, managing data collection, analyzing submissions, and generating Excel, Word, and PDF deliverables directly from a Claude conversation.

A production-grade MCP server for enterprise sales analytics, enabling LLM clients to query, analyze, and visualize sales data from a SQLite database through structured tools, resources, and prompts.

Offline MCP server that queries CSV, Parquet, Excel, and JSON files and generates self-contained interactive HTML reports with reproducible provenance. Built and maintained by an AI agent.