"Toggl Track" matching MCP servers:

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Kernel-attached MCP server for Jupyter notebooks, enabling agents to manage cells, track dependencies, and execute code with minimal re-execution and condensed outputs.

MCP server that lets you search your Claude Code conversation history to find past solutions, track file changes, and learn from previous work.

An MCP server for scheduling and executing Claude Code CLI tasks via cron expressions, featuring a web dashboard and webhook support. It enables users to dynamically create custom MCP servers, manage recurring AI jobs, and track execution history with token and cost analytics.

Enables a Grok Bot to reach a local MCP server over loopback to discover eligible projects, start or continue Codex CLI jobs in sandboxed modes, track results, and handle separate OpenAI Responses text requests.

Stateful backend for AI agents providing memory, watch, render, execute, and board primitives via remote MCP. Enables agents to persist facts, track page changes, render JS pages, run code, and coordinate on shared boards.

Connects AI assistants to the Repovive competitive-programming platform, enabling them to browse problems and contests, judge and submit code for real verdicts, track ratings, communicate with users, and author verified problems and rounds.

Provides tools for AI agents to interact with the Orange Juice Online Judge API by managing problems and code submissions. Users can list problems, retrieve detailed descriptions, submit source code, and track submission status through natural language.