"LINE" matching MCP servers:

Provides arbitrary precision arithmetic operations and advanced mathematical computations through the Unix bc calculator, supporting complex expressions, mathematical functions, and multi-line scripts with configurable precision.

A Model Context Protocol server that provides programmatic access to the Windows terminal, enabling AI models to interact with the Windows command line through standardized tools for writing commands, reading output, and sending control signals.

A Model Context Protocol server that provides a tool for extracting specific line ranges from text content while preserving exact formatting and newlines.

Enables AI agents to control Ableton Live by evaluating arbitrary Python code and using predefined tools for common tasks, supporting voice and text commands for music production.

A command-line tool that transforms any OpenAPI service into a Model Context Protocol (MCP) server, enabling seamless integration with AI agents and tools that support the MCP specification.

An MCP server that provides tools for programmatically interacting with Xcode projects, enabling users to manage targets, schemes, and files. It supports essential development tasks including building, testing, and cleaning projects through the Xcode command-line tools.

Provides hashline-based file editing using line-addressed edits and content hashes for integrity verification. It enables LLMs to perform precise file modifications while ensuring edits are rejected if the file content has changed since the last read.

An MCP server for integrating AI models with client applications, allowing for structured interactions with APIs using command-line arguments for authentication and configuration.

Exposes ModelSim/QuestaSim command-line tools as 57 MCP tools for FPGA simulation automation, covering library management, compilation, simulation, waveform analysis, and coverage collection.

Enables AI assistants to execute Python code with pexpect functionality for interactive debugging sessions with command-line tools like LLDB and GDB. Maintains a stateful Python session allowing programmatic control of interactive processes.

Enables AI assistants to start, manage, and embed live application previews in iframes, with support for multiple frameworks, Docker, tunnels, and authentication.

A server implementation for the Model Context Protocol (MCP) that allows Claude AI to execute commands through a command-line interface, enabling direct system interactions from within Claude.

A server that wraps the code2flow command-line tool as an MCP service, allowing AI applications to generate and access code call graphs through a standardized protocol.

An MCP server that exposes a sandboxed task runner protocol to any MCP client, enabling evidence-protected task execution, exit protocol reading, and autopsy reports.

A zero-data MCP server for LLM fine-tuning, providing 64 tools across 10 dimensions to prepare, build, train, evaluate, secure, package, and deliver fine-tuned models without ever accessing client data.

Skylos MCP server exposes static analysis as tools for AI coding agents — scan any Python, TypeScript, or Go codebase for dead code, security vulnerabilities, and quality issues directly from Claude, Cursor, or any MCP-compatible client. Returns findings with file paths, line numbers, and severity so agents can auto-fix issues in context.

Provides AI agents with shell execution and file management capabilities on a development VM, including running commands and editing files via tools like run_command, read_file, and edit_file.