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Twilio Verify MCP Server

MCP Server generated by mcp.ag2.ai

Installation

Add the following to your MCP client configuration file.

Configuration

{
  "mcpServers": {
    "ag2-mcp-servers-twilio---verify": {
      "command": "python",
      "args": [
        "mcp_server/main.py",
        "stdio"
      ],
      "env": {
        "CONFIG": "{...}",
        "SECURITY": "YOUR_API_KEY_OR_KEYS",
        "CONFIG_PATH": "path/to/mcp_config.json"
      }
    }
  }
}

You run an MCP Server to expose a machine-readable interface for the Twilio Verify v2 API, so clients can request identity verification workflows through a consistent protocol. This server runs locally as a standard input/output (stdio) process and supports configurable environment variables to control its startup and configuration.

How to use

To use this MCP server, start it as a local stdio process and connect your MCP client to its standard I/O channel. The server exposes an API surface that your client can invoke to perform model-context operations against the Twilio Verify v2 specification.

How to install

Prerequisites include Python 3.9 or newer, plus pip and uv. Follow these steps to install and prepare the server.

# 1) Clone the server repository
git clone <repository-url>
cd mcp_server

# 2) Install development dependencies
pip install -e ".[dev]"

# Alternatively, use uv to install editable dev dependencies
uv pip install --editable ".[dev]"

Run the server

Start the MCP server in stdio mode using the following command. This runs the server as a local process that communicates through standard input and output.

python mcp_server/main.py stdio

Configuration and environment variables

Configure startup and runtime behavior with environment variables. The following are commonly used:

- CONFIG_PATH: Path to a JSON configuration file (for example, mcp_server/mcp_config.json).

- CONFIG: A JSON string containing the configuration.

- SECURITY: Environment variables related to security parameters (for example, API keys).

Notes on testing and development

For development and testing, you can run static analysis, linting, and tests using the provided scripts. Review and run these to ensure code quality and test coverage during local development.

Available tools

ruff

Linting and formatting tools used to ensure code quality and consistency.

mypy

Static type checking to catch type errors during development.

pytest

Testing framework used to run unit and integration tests.

hatch

Build and publish tool used to build the MCP package.