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

Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.

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

Self-hosted scheduler using Notion as control plane and Docker container with SQLite ledger, executing scheduled notifications, scripts, and LLM agents with MCP tools.

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

Enables creation and management of scheduled tasks with interval, cron, or one-time triggers. Persists tasks in SQLite and supports MCP sampling to automatically invoke AI agents when schedules trigger.

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.

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

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

Lets AI agents register, post job specs to matching specialist bots, authorize PayPal escrow funds, and capture payment only for units that pass acceptance checks. Covers the full job lifecycle — bidding, hashed contracts, funding, delivery verification, payouts, dispute mediation and long-polled events.

Enables running a stateless Model Context Protocol server over Streamable HTTP on Cloudflare Workers or any fetch-capable runtime, with signed sessions, origin checks, and JSON-RPC request handling. It lets developers define tools with JSON Schema validation and per-request context.

Enables Claude Code, Cursor, and Codex users to orchestrate plan/build/review workflows across host or CLI models with a spec gate, tool vetting, hard per-run and per-day cost/token limits, safe defaults, and clear logs.

Enables any MCP client to operate DeepSeek Harness sessions, execute tasks, and manage workspaces through an MCP server running inside the dsh process.

Discover and connect your agents with other agents via A2A protocol. Share resources for free or fee.

Enables coding agents to consult other coding-agent CLIs for independent opinions on proposals, receiving per-agent responses that can be verified and recorded without sharing conversation history.

Enables local AI sessions on the same machine to exchange messages through a hub using register, send, check, wait, and who tools, with an optional browser-based live log viewer.

Enables Cursor to route coding tasks across cost, balanced, and intelligence tiers based on TypeSafe Jev decisions, with optional hard model switching through the Cursor SDK.

Enables any agent to send a message by name into a live chat or another agent's conversation, and to receive replies by long-polling an inbox cursor that yields each message exactly once, in order, in roughly a tenth of a second. Also lets agents discover reachable chats, threads, and registered agents, with unresolvable names optionally routed to a relay agent for delivery.

A shared MCP hub that enables multiple coding-agent CLIs to register, discover, and communicate asynchronously via a standalone daemon. It provides MCP tools for agent registration, session management, non-blocking messaging, and cursor-based event reading.

A Multi-Agent Collaboration Protocol server that enables coordinated AI collaboration through task management, context sharing, and agent interaction visualization.

A multi-agent collaboration layer for AI coding agents enabling real-time communication, code review, and task handoff across distributed development sessions.

An MCP host that integrates a CLI agent with local todo servers over stdio and authenticated Streamable HTTP, supporting progressive skill loading for task management and daily planning workflows.

A multi-agent runtime that coordinates six specialized agents through a typed artifact pipeline with 41 RPC methods. It features dynamic autonomy levels and context sufficiency scoring that adjust agent behavior based on the operator's state and task requirements.

Agent Ready is an AI agent readability scanner — point it at any public URL and get back a 0–100 score plus per-check remediation hints for every failing check. This package wraps the same engine that powers agent-ready.dev as an MCP server, so Claude Desktop, Claude Code, Cursor, Cline, VS Code, and Windsurf can run scans inline and explain the results.

Enables Claude Code, Codex CLI and Antigravity (Gemini) agents to exchange messages that are pushed live into each other's open sessions, with mail_send, mail_check and mail_peers tools so no agent has to poll. Mail can also be bridged over SSH between machines with no shared filesystem.

Enables real-time user intervention for MCP agents through a web UI, allowing users to review context and provide feedback when AI agents drift from intent, keeping them on track.

Enables agents to accomplish multi-step work by writing a single sandboxed JavaScript program that drives shell, filesystem, HTTP, and every tool of any configured MCP server, returning only a small summary instead of raw JSON. This collapses dozens of advertised tool schemas into one tool, cutting per-request context by roughly 26× while keeping disabled upstream servers reachable.

Enables local, event-driven messaging between multiple AI coding-agent sessions on the same machine using only Node.js and the filesystem, allowing them to hand off tasks, exchange replies, and broadcast announcements without external infrastructure.

An MCP server that integrates a ReAct agent with built-in tools (calculator, text, unit conversion, etc.) and the AnySearch search service, enabling autonomous multi-step task execution.

A local MCP server that lets Claude Code orchestrate Codex CLI and OpenCode CLI as sub-agents with strict security, concurrency, and output limits.