"How to send OS notifications" matching MCP servers:

interactive-mcp

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Enables remote control of AI coding assistants (Claude Code/Codex) via Telegram, allowing you to manage long-running tasks, send commands, and receive notifications from anywhere. Supports unattended mode with smart polling for up to 7 days and multi-session management.

A trusted, open-source MCP server for Telegram that enables LLMs to send messages, structured notifications with buttons, and wait for user replies using only bot token authentication.

Enables AI agents to delegate tasks to a running Hermes Agent instance via its OpenAI-compatible gateway, with streaming progress notifications and session threading.

Access your Carbon Voice conversations and voice memos—retrieving messages, conversations, voice memos, and more as well as send messages to Carbon Voice users.

Enables AI agents to request human decisions and send notifications through chat platforms like Slack and WhatsApp, with ephemeral in-memory pending requests and no central backend.

Persistent operational state for AI agents. Decisions, plans, priorities, and patterns that survive across sessions. Not conversation logs; structured project state with enforcement.

Provides a JSON-RPC MCP server that exposes policy-governed agent tools, including paid tools, tool muxing, and OpenAPI-to-MCP conversion, enabling agents to discover, coordinate, and execute tasks within the ProtoOS ecosystem.

Enables external agents to list T3 environments and projects, start coding threads, monitor progress, send follow-up instructions, and interrupt running turns via MCP.

Enables Codex to delegate coding tasks to an OpenCode CLI locally, returning structured results such as exit codes, session summaries, tool calls, and git diffs.

Playwright for the entire OS. Give AI agents eyes and hands on any desktop app — find, click, type, and read UI elements across Linux, macOS, and Windows.

MCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.

Zero context compaction for Claude Code & LLM agents. Persistent memory powered by OS primitives (demand paging, kswapd eviction, mlock pinning). Single SQLite file, MCP-native, multi-agent shared.

An MCP server that lets Claude spawn Cursor subagents as async, bounded workers, enabling non-blocking task delegation with asynchronous completion notifications.

MCP server exposing Attestify OS agents as callable tools, enabling governed AI agent runs for financial, compliance, and regulated workflows with immutable receipts and on-chain settlement.

Enables routing tasks to the right specialist agents, assembling the needed context from a layered catalog of agents, skills, knowledge, runbooks, topics, tools, and connectors, while remembering how a business wants work done.

An MCP server that lets an LLM agent drive a TeleportXR headless client: connect to Teleport servers, move an avatar, send input, and inspect geometry.

Teach any AI agent how you use an MCP server – Soft-Landing to your AI integrations

Enables AI agents to manage USDC wallets on Solana, allowing them to send payments, create invoices, and access paid APIs within human-defined spending limits. It uses threshold signatures to provide agents with financial autonomy while ensuring secure oversight and transaction approval.