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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Enables AI IDEs like Cursor to send SMS, manage contacts/groups/templates, and check delivery reports via the MNotify API through natural language tool calls.

README.md

MNotify MCP Server

Bring MNotify to your AI IDE in one command.

This package exposes the MNotify SMS API as an MCP server so tools like Cursor can securely call real MNotify actions (send SMS, manage contacts/groups/templates, delivery reports) via stdio. This repo also includes a simple interactive MNotify Agent for CLI use. It is based on Mnotify API v2.0

Check out the PyPI MCP package here

Requirements

  • Python 3.10+
  • Environment variable: MNOTIFY_API_KEY

Setup

  • Using uv (recommended):
  curl -LsSf https://astral.sh/uv/install.sh | sh  # install uv if needed
  uv venv                                          
  uv pip install -r requirements.txt               
  • Using any virtualenv manager + pip:
  python -m venv .venv && source .venv/bin/activate
  pip install -r requirements.txt

Quick start — install and run the MCP server

pip install mnotify_mcp_server
export MNOTIFY_API_KEY=sk_mnotify_...

# Start the server (preferred)
mnotify_mcp server

# Alternatives
mnotify-mcp
python -m mnotify_mcp.server

Connect to Cursor

  • Option A: Project config .cursor/mcp.json (recommended)
{
  "mcpServers": {
    "mnotify": {
      "command": "mnotify_mcp",
      "args": ["server"]
    }
  }
}

Relaunch cursor from the same environment as the virtual environment

  • Option B: Manual add in Cursor (Settings → MCP → Add Custom Server → Process)
  • Command: mnotify_mcp
  • Args: server
  • Ensure MNOTIFY_API_KEY is set in the environment where Cursor launches the process

MNotify Agent (interactive CLI)

A local chat agent that can call all MNotify tools directly.

!MNotify CLI Agent

Setup

  • Create a virtual environment and install dependencies with uv or pip (see above).
  • Add a .env file with:
OPENROUTER_API_KEY=sk-or-v1-...
MNOTIFY_API_KEY=...
AGNO_API_KEY=ag-...   # optional, if monitoring is set.

Start the agent

uv run mnotify_agent.py

CLI commands

  • help: list commands
  • history: show recent messages
  • tools: list available tools
  • test: run a quick tool-call test
  • clear: clear conversation context

Tools exposed

  • SMS: send_quick_bulk_sms, send_bulk_group_sms, update_scheduled_sms
  • Reports: sms_delivery_report, specific_sms_delivery_report, periodic_sms_delivery_report
  • Contacts: add_contact, update_contact, delete_contact, get_contact_details, get_contact_list, get_group_contacts
  • Groups: add_group, update_group, delete_group, get_group_details, get_group_list
  • Templates: get_template_list, get_message_template, add_message_template, update_message_template, delete_message_template
  • Utilities: register_sender_id, check_sender_id, check_sms_balance
  • Helpers: get_context_snapshot, resolve_group_name

Validation & guardrails

  • message length ≤ 460; sender_id length ≤ 11.
  • schedule=true requires schedule_time (YYYY-MM-DD HH:MM).
  • Optional: verify_sender=true performs a best‑effort sender status check before sending.

Security

  • Never pass secrets as tool arguments. The server reads MNOTIFY_API_KEY from the environment.
  • The server does not log secrets.

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