MNotify MCP Server

MNotify MCP Server

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.

Category
Visit Server

README

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.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured