"A scheduler that invokes an agent based on a predefined schedule" matching MCP servers:

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

MCP server for scheduling tasks with cron-like recurring jobs, one-time tasks, priority queues, retry logic, and job dependencies.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.

Codebase Q&A agent with git-history awareness. Explore a repo with list_files, read_file, and search, plus git log, blame, and diff and a repo map to answer "why did this change?" questions. Runs locally as an MCP server for Claude Code and other MCP clients.

A robust task scheduler server for scheduling and managing various types of automated tasks including shell commands, API calls, AI tasks, and reminders.

Enables AI-to-AI consultation for critical thinking and complex reasoning via OpenRouter, allowing one AI to delegate tasks to another AI model.

Exposes the Appointment Scheduler API to AI agents as an MCP server, enabling them to list users and services, check availability, book, list, and cancel appointments via natural language.

Enables personal productivity management by exposing MCP tools to create, retrieve, list, update, complete, and delete tasks and calendar events, with validation and conflict detection.

An MCP server that scrapes movie theater schedules from eiga.com to provide movie, theater, and showtime data to AI assistants. It enables users to search for screenings and calculate the optimal viewing order for watching multiple movies.

An MCP server that decides whether each step of an agent requires cheap intuition (System 1) or expensive deliberation (System 2) by learning from experience rather than hand-written rules.

An MCP server that creates calendar events for FIFA World Cup matches and sends email reminders with match details.

MCP server that defers non-urgent tasks to off-peak hours, saving ~50% on DeepSeek API costs without blocking users.

Production-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.

Enables agents to drive a running React application through typed MCP tools, using the same actions as the UI instead of browser automation.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.