"JobSpy job search tool or library" matching MCP servers:

SSH automation MCP server that enables Claude and ChatGPT to execute commands, manage files, install packages, and control services on remote servers over SSH — supporting password, key, and agent authentication.

A Model Context Protocol (MCP) SSH client server that provides autonomous SSH operations for GitHub Copilot and VS Code. Enable natural language SSH automation without manual prompts or GUI interactions.

Lets an LLM see what's on your screen by capturing an entire monitor or a specific application window.

Enables access to and searching of browser history from major browsers (Brave, Chrome, Firefox, Safari, Edge, Arc, Opera, DuckDuckGo) to personalize LLM interactions and retrieve past browsing data through natural language queries.

A high-performance Model Context Protocol (MCP) server built for Windows. Leveraging the native Everything SDK, it provides AI models (like Claude, GPT, Gemini) with millisecond-speed file searching, statistical analysis, and disk usage insights.

This server provides: * Fast file search capabilities using Everything SDK * Windows-specific implementation * Complements existing filesystem servers with specialized search functionality

An MCP server that enables users to execute arbitrary shell commands on their local machine and receive the output. It provides a terminal tool for running system commands through MCP-compatible clients using the Python SDK.

Enables AI assistants to interact with physical serial port devices across platforms (Windows COM/Linux tty) with support for asynchronous communication, URC pattern recognition, and structured logging.

Enables MCP-compatible clients to manage cron-job.org cron jobs and folders via natural language, including creating, inspecting, updating, and deleting jobs, and reading execution history.

Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.

jobd is a self-hostable, GPU-aware job broker that queues and routes shell commands across your own machines — picking workers by available VRAM and tool tags, streaming logs back, and surviving across sessions. It ships native MCP integration, so agents can submit, monitor, and control long-running or GPU jobs as tools.

Give Claude Desktop terminal, filesystem, and background-job access on your local Linux machine. Zero-dependency MCP extension, MIT-licensed.

Enables MCP clients to access a local computer through a controlled, permission-based tool surface for read-only or developer-mode file, process, and terminal operations.

An automation tool for macOS that uses AppleScript and JXA to manage Discord server setups through AI assistants. It enables the creation and configuration of servers, channels, roles, and settings using pre-built templates or custom commands.

MCP server that integrates Claude with the Kyushu University supercomputer Genkai's TCS (PJM) job scheduler. It enables natural language control of job submission, status monitoring, deletion, resource queries, and reading output files.

MCP server that lets Claude Desktop or another MCP client trigger macOS sound and visual notifications through a task_status tool.

An MCP server that connects AI assistants to the NinjaOne remote monitoring and management platform via the REST API v2. It provides tools for device inventory, organization management, alert handling, maintenance scheduling, and automated job execution.

This server provides a privacy-focused meta search capability by integrating multiple search engines without tracking or user profiling, supporting various categories and languages for filtered searches.

MCP server to operate Fujitsu Technical Computing Suite (TCS/PJM) on Kyushu University's supercomputer 'Genkai' from MCP clients like Codex, supporting direct and SSH modes for job submission, monitoring, and file operations.

A Model Context Protocol (MCP) server that provides a simple sleep/wait tool, useful for adding delays between operations such as waiting between API calls or testing eventually consistent systems.