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Cactusinhand/mcp_server_notify

by Various

Send system notification when Agent task is done.

C

MCP

Cactusinhand/mcp_server_notify

Added 1 June 2026

#mcp #mcp-server #notification

Overview

An MCP server that sends system notifications when an agent task completes. It listens for task completion signals and triggers the host operating system's notification system. Built in Python.

Best for

Best for
Developers building MCP-based agent workflows that need user notifications

Use cases

  • Notify when a background data processing task finishes
  • Alert when an AI agent completes code generation or analysis
  • Get a desktop notification when a multi-step workflow ends

How to use

Install

uv pip install mcp-server-notify

Tools exposed

  • uv
  • pip
  • brew
  • uvx

Tested with

Claude Desktop, Cursor, VS Code

Example client config

{\n    "mcpServers": {\n        "NotificationServer": {\n            "command": "uv",\n            "args": [\n              "--directory",\n              "path/to/your/mcp_server_notify project",\n              "run",\n              "mcp-server-notify"\n            ]\n        }\n    }\n}

Notes

An MCP server that sends system notifications when an agent task completes. It listens for task completion signals and triggers the host operating system’s notification system. Built in Python.

54 stars on GitHub. Last updated 2025-08-18. Licensed MIT.

Use cases

  • Notify when a background data processing task finishes
  • Alert when an AI agent completes code generation or analysis
  • Get a desktop notification when a multi-step workflow ends

Pros

  • Simple and lightweight implementation
  • Easy to integrate with MCP-compatible agents
  • Cross-platform notification support via standard Python libraries

Cons

  • Limited to one-way notification with no feedback or response
  • Requires an MCP-compatible agent to be useful
  • Low community adoption and may receive limited updates

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Simple and lightweight implementation
  • Easy to integrate with MCP-compatible agents
  • Cross-platform notification support via standard Python libraries

Cons

  • Limited to one-way notification with no feedback or response
  • Requires an MCP-compatible agent to be useful
  • Low community adoption and may receive limited updates
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