"Working with Excel" matching MCP servers:

Exposes persistent, stateful remote Bash sessions to AI agents via SSH, enabling command execution with preserved working directory and environment.

Enables execution of bash commands via MCP, allowing clients to run shell commands and set a working directory.

An MCP server that enables the execution of arbitrary bash commands and returns detailed output including stdout, stderr, and exit codes. It supports customizable working directories, execution timeouts, and environment variable configurations.

Enables executing Bash commands, pipelines, and scripts across Windows, macOS, and Linux via MCP, with support for multiple runtimes, timeouts, working directories, and stream capture.

A Model Context Protocol server that exposes a tool to execute shell commands on the host machine, with customizable working directory and timeout.

Enables ChatGPT Desktop to read, search, edit and move files on your own computer, produce Word, Excel, PowerPoint, PDF and chart outputs, launch and manage terminal programs and processes, and run work on other machines you own by name over SSH. Everything runs locally under your own setup, with a Docker-isolated, offline document mode or a full-permission mode for file and code operations.

Enables local document conversion between 70+ formats (PDF, Word, Excel, etc.) via MCP, keeping files private.

Enables execution of shell commands, directory navigation, and interactive program automation through an enhanced command-line interface. Provides tools for running commands, managing working directories, and handling interactive programs using expect/send sequences.

Enables execution of ROS 2 CLI commands through the Model Context Protocol, supporting configurable timeouts, working directories, and secure command whitelisting.

An MCP server that exposes the local GEMPACK CGE toolchain (TABLO, GEMSIM, HAR utilities) as tools Claude can call: compile models, run simulations, read solution and HAR data files, and export to CSV/Excel.

Launch Windows applications by name, alias, or path via MCP, supporting arguments and working directories. Uses Task Scheduler to detach launched processes so they persist independently of the MCP server.

Enables arithmetic operations (add, subtract, multiply, divide) through a custom Model Context Protocol implementation, containerized with Docker for easy deployment.

This MCP server is pre-implementation; it is intended to enable read-only agent interaction with Bitty debug and command protocols, with explicit fine-grained authorization.

A production-ready foundation for developing custom Model Context Protocol (MCP) servers in TypeScript. Provides a complete layered architecture pattern, working example implementation, and comprehensive developer infrastructure to connect AI assistants with external APIs and data sources.

Secure MCP server for controlled terminal access, enabling AI assistants to run whitelisted commands with configurable working directory, timeout, and output limits.

This MCP server enables AI agents to run a restricted set of Unix commands, manage files within a sandboxed working directory, apply patches, and fetch web content, providing controlled local automation without full shell access.

A stateful SSH MCP server that gives Claude persistent shell sessions over SSH, preserving working directory, environment variables, and state across commands.

A simple MCP Server with shell execution capabilities that can be run locally with Ngrok tunneling or hosted in an Ubuntu 24 Docker container.

An MCP server that enables collaboration between Claude Code and Z.ai's GLM models — use Claude Opus for planning while GLM handles implementation.

Scaffolds stateless MCP servers with explicit state handles, a pluggable state store, and a visual inspector for debugging.