"Fetching historical data from tardis.dev" matching MCP servers:

Connects compatible AI clients to registered Windows or macOS computers, allowing users to inspect systems, work with files, run supported commands, and automate workflows through authorized remote access.

Enables reading diagnostic data from remote servers over SSH using a whitelist of read-only commands, with secret redaction.

Enables forensic investigators to acquire data from Android devices via ADB, including device backup, artifact collection, and secure command execution.

fork from https://github.com/JoshuaRileyDev/mac-apps-launcher

Enables AI agents to debug and repair historical Solaris/SPARC systems by providing an out-of-band control plane with guest DTrace, QEMU monitor access, SPARC-aware GDB, host eBPF/perf tracing, and an immutable evidence ledger for cross-layer hypothesis testing.

This read-only MCP Server allows you to connect to SAP Sybase data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for SAP Sybase (https://www.cdata.com/drivers/sybase/download/mcp).

An MCP server for operating headless MetaTrader 5 terminals — over SSH, from your agent.

Enables web-based AI clients such as Claude, ChatGPT, Grok, and Postman to securely operate a local machine through a single OAuth-gated MCP endpoint exposing 38 governed tools. Covers file read/write/edit, whitelisted shell commands, search, Git, SQLite, browser automation, DevTools, background tasks, localhost fetching, clipboard, notifications, port management, and Postman control.

A batteries-included MCP server providing common coding-agent tools like web search, page fetching, file system access, shell command execution, and Git integration, built in Python with a local-first, Unix-style philosophy.

Enables secure remote access to your computer's filesystem and terminal through MCP, allowing AI assistants to manage files, run commands, and automate tasks from anywhere via a hosted relay.

Enables spawning, interacting with, and capturing screen output from terminal-based programs for debugging PTY/TTY/TUI applications.

Enables Claude to control tmux sessions, manage windows and panes, and search/extract text from terminal output.

MCP server for managing VPS servers via SSH, enabling command execution, file transfer, Docker management, and server documentation from within Claude.

A self-hosted MCP server that gives AI agents controlled access to a machine: filesystem, shell, background processes, git, web fetching and persistent key-value memory.

Convex’s MCP server lets you introspect tables, call functions, and read/write data seamlessly. Agents can generate one-off queries safely—thanks to Convex’s sandboxed queries, ensuring data integrity. Perfect for AI automation, real-time apps, and dynamic data access.

Turns web-based AI chat clients into secure operators of a local machine by exposing a governed, OAuth-gated set of 38 tools for file read/write/edit, whitelisted shell commands, search, Git, SQLite, browser automation, DevTools, background tasks, localhost/LAN fetching, clipboard, notifications, ports, Postman, and AIObox windows. Access is confined to user-approved folders with a strict command whitelist, rate limits, and a security log.

A lightweight Node.js MCP server with zero dependencies offering 9 built-in tools for system info, web fetching, GitHub search, file operations, shell execution, and key-value memory, enabling AI agents to perform these tasks via the Model Context Protocol.

Enables web-based AI chat clients such as Claude, ChatGPT, and Grok to operate a user's local machine through a single OAuth-gated, whitelist-protected MCP endpoint exposing tools for file editing, shell commands, search, Git, SQLite, browser automation, DevTools, background tasks, localhost service fetching, clipboard, notifications, ports, and Postman control.

agentic_ssh is written in Rust and specifically engineered to provide agent-hardened, token-efficient, and asynchronous SSH orchestrations for AI agents. It automatically discovers hosts from your local SSH configurations, manages connection heartbeats, handles silent network dropouts, and supports detached background job scheduling with isolated session logging

Runs git-bash (MSYS2) commands for AI agents on Windows from outside the agent's sandbox, so pipelines, command substitution, and subprocesses work. Exposes exec, bash_info, doctor, and policy tools with timeouts, output spilling, concurrency limits, capability-based command gating, and JSONL auditing.