"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 AI assistants to interact with SIEMENS WinCC Unified SCADA systems through their GraphQL API, supporting operations like reading/writing tag values, browsing objects, querying historical data, and managing alarms.

Enables Claude to read and search through iMessage, SMS, and RCS conversations, including mixed-protocol group chats with Android users. It decodes binary message data from the macOS Messages database to provide a comprehensive view of message history.

Enables MCP clients to inspect and repair the Hindsight memory daemon chain by warming its uv environment, starting or restarting the service, checking health, and diagnosing historical start failures. It exposes tools for whole-chain status, intelligent healing, and doctor-style log analysis without requiring a resident supervisor process.

Enables macOS control, web scraping, news fetching, and workspace automation through an MCP server.

An MCP server that interfaces with SIEMENS WinCC Unified SCADA systems via GraphQL to manage real-time and historical tag data. It enables AI assistants to browse SCADA objects, read or write tag values, and perform alarm management tasks such as fetching, acknowledging, and resetting alarms.

Lets MCP clients discover and run AppleScript or JavaScript for Automation (JXA) to control macOS applications, inspect the system, or reuse scripts from a bundled knowledge base.

Allow AI agents to see and control a real Windows PC you own: observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH — your machine, your key.

GenieACS-MCP is a Go-based MCP server that bridges any GenieACS (TR-069 ACS) instance, exposing device data, firmware management, and CPE actions (reboot, parameter refresh, firmware download) over JSON-RPC

Run Apple Shortcuts on your iPhone, iPad or Mac from any MCP client over an end-to-end encrypted relay. The phone can stay locked.

Provides tools for reading and writing system clipboard data across Linux, macOS, Windows, and WSL platforms.

Enables LLMs to communicate with hardware devices via serial ports. Provides tools for listing ports, opening/closing connections, reading/writing data, and controlling serial signals.

A Model Context Protocol server built with FastMCP that provides tools for retrieving the current local date and time. It allows LLMs to access precise temporal information directly from the host environment.

Provides AI agents with real-time ground truth about what's actually running on the machine, including live agent sessions, listening TCP ports, loaded daemons, and system stats. It reads directly from the OS via fixed commands, ensuring agents never rely on stale docs or transcripts.

Enables MCP-capable LLM clients to perform read-only Linux system observation and OS algorithm experiments by exposing typed tools for memory, filesystem, process, and CPU scheduling data with controlled, safe boundaries.

Enables any MCP-compatible agent to query a local OpenRhyme activity timeline, search history, and issue control commands over stdio while keeping all data on-machine.

Reports the local user's current activity and idle state, including idle duration, idle threshold comparison, and timestamps, so agents can decide whether to wait for user feedback or keep working autonomously. All activity data is collected on-device through operating-system APIs and returned only to the connected MCP client.

An MCP server that allows checking local time on the client machine or current UTC time from an NTP server

Enables searching Mercadona Online products and reading or carefully updating a user's cart via the Model Context Protocol from the command line or ChatGPT Web.

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.