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ag2-mcp-servers

WhatsApp Business API MCP Server

MCP Server

This project is an MCP (Model Context Protocol) Server for the given OpenAPI URL - https://api.apis.guru/v2/specs/whatsapp.local/1.0/openapi.json, auto-generated using AG2's MCP builder.

Prerequisites

  • Python 3.9+

  • pip and uv

Related MCP server: wati-mcp-server

Installation

  1. Clone the repository:

    git clone <repository-url>
    cd mcp-server
  2. Install dependencies: The .devcontainer/setup.sh script handles installing dependencies using pip install -e ".[dev]". If you are not using the dev container, you can run this command manually.

    pip install -e ".[dev]"

    Alternatively, you can use uv:

    uv pip install --editable ".[dev]"

Development

This project uses ruff for linting and formatting, mypy for static type checking, and pytest for testing.

Linting and Formatting

To check for linting issues:

ruff check

To format the code:

ruff format

These commands are also available via the scripts/lint.sh script.

Static Analysis

To run static analysis (mypy, bandit, semgrep):

./scripts/static-analysis.sh

This script is also configured as a pre-commit hook in .pre-commit-config.yaml.

Running Tests

To run tests with coverage:

./scripts/test.sh

This will run pytest and generate a coverage report. For a combined report and cleanup, you can use:

./scripts/test-cov.sh

Pre-commit Hooks

This project uses pre-commit hooks defined in .pre-commit-config.yaml. To install the hooks:

pre-commit install

The hooks will run automatically before each commit.

Running the Server

The MCP server can be started using the mcp_server/main.py script. It supports different transport modes (e.g., stdio, sse, streamable-http).

To start the server (e.g., in stdio mode):

python mcp_server/main.py stdio

The server can be configured using environment variables:

  • CONFIG_PATH: Path to a JSON configuration file (e.g., mcp_server/mcp_config.json).

  • CONFIG: A JSON string containing the configuration.

  • SECURITY: Environment variables for security parameters (e.g., API keys).

Refer to the if __name__ == "__main__": block in mcp_server/main.py for details on how these are loaded.

The tests/test_mcp_server.py file demonstrates how to start and interact with the server programmatically for testing.

Building and Publishing

This project uses Hatch for building and publishing. To build the project:

hatch build

To publish the project:

hatch publish

These commands are also available via the scripts/publish.sh script.

Related MCP Connectors

  • WhatsMCP connects Claude and other MCP-compatible AI agents directly to WhatsApp. Send and receive text, images, documents, and voice notes; manage groups (create, add/remove members, promote admins); look up contacts and profiles; follow channels; and read call and message history — all through a standard MCP interface. For voice use cases, WhatsMCP offers SIP-based calling plans (inbound-only, or full inbound/outbound) so AI voice agents can answer and place WhatsApp calls, plus low-latency WebSocket integrations with voice agent providers like ElevenLabs. Multiple WhatsApp accounts can be paired and managed per workspace, with webhook support for real-time inbound message delivery to your own infrastructure.

  • Unified messaging MCP server: WhatsApp, Instagram, Telegram, SMS, Messenger & email support inbox

  • WhatsApp (Web + Business API), SMS, contacts, and call records via 2Chat's MCP server.

  • Drive WhatsApp from any MCP client: pair devices, send text and media, manage contacts and groups.

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