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

Enables clients to read files, list tests, and run tests through MCP tool calls, while refusing apply operations.

Connects ChatGPT to local files, terminals, and the desktop through MCP with Chrome integration, letting users read and edit project files, run commands, and follow tool results as they arrive. It also adds durable multi-agent workers, Goal/Loop task tracking, mid-task corrections, and Compact & Resume for carrying session and worker history into a fresh chat.

Enables ChatGPT to access approved local Windows folders, run commands, control the desktop, and manage session history through a permission-bounded MCP server.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

A read-only remote MCP server that searches and reads files from a personal Microsoft OneDrive folder via Cloudflare Workers, enabling live access without a local workstation or tunnel.

An MCP server that compiles any text into a verifiable, graph-based knowledge base using deterministic chunking and parallel extraction of epistemology primitives.

Enables ChatGPT's web interface to operate a real Mac by executing shell commands and reading or writing files over a reverse SSH tunnel, without installing a client or consuming API quota.

Provides a secure workspace for AI-driven file management and Python script execution designed to run on Vercel. It enables tools for full file operations and code execution within a sandboxed environment.

Enables Cursor's AI agent to perform supercharged local file search on Windows by connecting to Agent Ransack via MCP, supporting content and filename searches, regex, and deep folder scans.

Provides workspace-scoped file operations and command execution tools for building Cursor-style agents, along with system prompts and tool definitions for LLM integration.

MCP server that exposes agent-memory-daemon to any MCP-compatible client — Kiro (CLI & IDE), Claude Desktop, Cursor, and others. The daemon does the thinking (consolidation + extraction); this server is a thin filesystem bridge so agents can read, append, and search memory through the Model Context Protocol.

Enables AI agents to perform safe, semantic edits on Markdown and DOCX documents through a normalized model with staging, diff review, and stale-edit protection.

MCP server that lets a private ChatGPT app remotely control a paired Windows PC, including files, PowerShell, programs, screenshots, mouse/keyboard, clipboard, and Chrome.

Enables coding agents to send files and notes into approved Zas channels and read items back, with content encrypted before leaving the machine and scoped, revocable agent access.

Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.

Enables MCP clients to drive developer workflows through APIs and CLIs, with explicit workspace or trusted-workstation launch modes, bounded command previews, multi-repository rules discovery, and an on-demand skills/recipes entry point. It lets agents review changes, run commands, and load only the smallest relevant rule or skill while reporting evidence and unverified steps.

Provides an MCP control plane for a dedicated Linux VM, enabling shell-equivalent command execution, bounded filesystem and Git workspace operations, persistent process and coding-agent orchestration, artifact presentation, and optional upstream MCP bridge re-exports.

Enables AI assistants to analyze KTuner datalogs, check logged runs, and propose or write safe ECU table edits into a new .kcl tune file for review and flashing in KTuner. It helps identify knock, fuel, and ignition timing changes without flashing the car or altering the original tune file.

Enables AeyeStudio AI chat to securely access and control local PC resources such as files, Excel, clipboard, apps, and shell through a localhost MCP agent with user approval.

A read-only MCP server that lets local AI agents inspect open Mac windows, browser tabs, PDFs, clipboard contents, Finder selections, and Messages history so they can answer questions about what the user is currently viewing.

Enables developers to register custom tool-calling functions, execute path-safe file operations within an isolated workspace, and keep in-memory memory and audit state for AI agent workflows.

Enables agents to read and write Markdown documents, HTML pages, data files, PDFs, screenshots, and videos through a standard remote MCP server with OAuth, per-agent revocable project permissions, version history, and stable artifact links.

Provides a local markdown-based memory system for coding agents through MCP, enabling search, add, register, inventory, sync, and ingest operations across user and project memory. It gives any agent tool a durable, provider-agnostic shared memory stored in folders you own.

Enables agents to upload, list, delete, and retrieve public URLs for self-contained HTML files on a remote nginx server via MCP, with a management page for browsing and previewing.

Enables AI agents to maintain project continuity through a file-based state hub with tasks, phases, and handoff snapshots. Provides MCP tools for reading and updating project state, with gatekeeping enforced via real-state evaluation and per-tool authorization.

Enables AI agents to automate a Linux desktop natively on Wayland, with 68 tools for screen capture, input simulation, browser automation, OCR, accessibility, media, audio, clipboard, notifications, filesystem, system, memory, and network operations through the MCP protocol.

Archive Agent is an open-source semantic file tracker with OCR + AI search (RAG) and MCP capability.

Enables a browser-based AI assistant to read code, edit files, run tests, inspect failures, and keep task checkpoints on a local project.

Connects ChatGPT and Claude to your own machine so they can read and edit files, search paths and text, run shell, Git, build and test commands, and keep cross-conversation memory and reusable skills. It exposes these capabilities as 14 Model Context Protocol tools over a remote Streamable HTTP endpoint with API key or OAuth authentication, plus an operator dashboard for monitoring and configuration.