"htop" matching MCP servers:

Enables agents to interact with CLI applications like vim, htop, and gdb by sending key inputs and capturing terminal output through tmux sessions.

Enables AI agents to spawn persistent terminal sessions, send keystrokes, read screen state, and assert output, allowing them to interact with stateful terminal applications like vim, htop, and gdb.

Self-contained SearXNG MCP server in Docker. Aggregates 200+ search engines across 30+ categories with multi-page fanout, autocomplete, and engine discovery. Dual transport (HTTP + stdio), API key auth, and built-in Web UI reverse proxy.

Enables LLMs to make HTTP requests with OAuth2, session cookies, retry logic, and cURL command generation, while providing security features like SSRF protection and TLS enforcement.

Enables AI assistants to read, search, and traverse your reMarkable tablet's library, including handwritten notes via OCR.

Provides a generic HTTP client tool allowing AI agents to make arbitrary HTTP requests from their environment, with support for environment-variable placeholders for secrets.

Enables recruiters and account managers to search public candidate profiles, match role briefs to ranked shortlists, browse categories, retrieve profile links, and draft value-first pitches while avoiding private data and outbound messages.

VTOP MCP Server for VIT Bhopal — connect Claude, Cursor, OpenCode and AI assistants to your VTOP student portal. Check attendance, marks, timetable, exam schedule, grades, CGPA, curriculum, faculty info, syllabus PDFs and hostel leave in plain English. 35 tools, local-first, open source.

Enables AI assistants to log in to a student's VIT Bhopal academic portal and fetch attendance, marks, timetable, exam schedules, grades, calendar, and profile data. It also calculates bunk allowances, OD usage, and GPA/CGPA projections.

Lets AI clients execute shell commands and transfer files on remote machines via configured aliases, while keeping credentials and audit logs local.

Read-only MCP server for self-hosted Confluence that lets AI agents search pages, fetch content, and navigate page trees via the REST API.

Enables searching and accessing Readwise highlights and documents through HTTP endpoints using the Model Context Protocol. Provides vector and full-text search capabilities with streaming responses for retrieving reading highlights and notes.

HAL (HTTP API Layer) is a Model Context Protocol (MCP) server that provides HTTP API capabilities to Large Language Models.

Universal HTTP client tool for LLM agents. Enables Claude and other MCP-compatible agents to perform GET, POST, PUT, DELETE, and other HTTP requests to any URL, including localhost and internal network addresses.

Enables AI agents to send HTTP requests to any endpoint with full control over methods, headers, query parameters, and request bodies.

MCP server for Wiki.js that exposes 29 tools for managing pages, comments, tags, assets, users, navigation, and more via HTTP/SSE with built-in mutation safety.

A Model Context Protocol server that converts diverse file types, including PDFs, images, audio, and Office documents, into Markdown format. It also transforms web content like YouTube transcripts and Bing search results into readable text for model consumption.

MartinLoop is the independent governance and financial control layer for AI coding agents. Set hard spend limits, prevent runaway loops, enforce verification, trigger rollback on failure, and generate auditable receipts showing what changed, what it cost, and whether the work passed.

Enables interaction with any REST API through token or login authentication, with automatic Swagger/OpenAPI documentation integration for endpoint discovery and comprehensive HTTP request support.

Measures brand visibility in AI-powered search sources and provides actionable GEO recommendations.