"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 LLMs to create and manage persistent, interactive shell sessions with full terminal emulation and PTY support. It allows for sequential command execution and supports interactive programs like vim or htop through specialized streaming and snapshot output modes.

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.

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 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.

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

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.

Troubleshoot nTop issues with AI-powered error diagnosis, swarm analysis, screen capture, and macro automation.

Manages parallel Git worktrees, enabling work on multiple branches simultaneously without stashing or context switching.

Deterministic <1µs in-band execution governance gateway and W3C DID security guardrail for AI Agent MCP tool calls.

Turns a logged-in ChatGPT Web conversation into an OpenAI-compatible HTTP endpoint, letting any compatible client send chat completions and responses without an API key. Native tool calls tunnel back to the local MCP server and execute under bubblewrap sandboxing with capability-bound session tokens, idempotent turns, and DOM-captured answers.

Proxies STDIO-based MCP clients to streaming HTTP MCP servers, enabling local clients to connect to remote servers.

Enables MCP-capable agents to inspect, validate, search, and manage Apache Hop pipelines and workflows, with guarded editing, backup, and optional local or Hop Server execution.

Enables AI assistants to explore, search, and read codebase repositories and API specifications efficiently, with support for file searching, content search via ripgrep, and reading API specs.

Enables AI assistants to execute Python functions and system commands via Streamable HTTP, including bash, Python code execution, file operations, and text searching.

Enables an AI assistant to securely access a student's own VIT VTOP account through a read-only, structured MCP interface, providing academic summaries, CGPA, courses, attendance, assignments, events, feedback, and session status.

This server bridges a stdio MCP server to HTTP, allowing MCP clients that communicate over HTTP to use the server's tools. It includes a per-tool allow/deny filter for security.

Provides an HTTP API for Claude Code using a native MCP channel to enable stable message exchange without terminal screen-scraping. It allows users to programmatically send messages, retrieve conversation history, and stream real-time events via standard web protocols.

HTTP Inspector MCP Server enables sending arbitrary HTTP requests, viewing history via a web panel, and taking screenshots of the panel for AI penetration testing workflows.