home / mcp / twilio microvisor mcp server
MCP Server generated by mcp.ag2.ai
Configuration
View docs{
"mcpServers": {
"ag2-mcp-servers-twilio---microvisor": {
"command": "python",
"args": [
"mcp_server/main.py",
"stdio"
],
"env": {
"CONFIG": "{...}",
"SECURITY": "YOUR_API_KEYS",
"CONFIG_PATH": "mcp_server/mcp_config.json"
}
}
}
}You run an MCP Server to expose a structured, protocol-friendly interface for the Twilio Microvisor API. This server lets you connect an MCP client to the microvisor using a standard, configurable runtime, so you can request data and perform actions in a controlled, scalable way.
To use this MCP Server, start it in stdio mode and connect your MCP client to its runtime. You can configure security parameters and the runtime input through environment variables or a JSON configuration. Once running, your MCP client can request the available data and actions exposed by the server, and receive responses in a consistent MCP format.
Prerequisites: Python 3.9 or newer, and a Python package manager (pip) or the uv runner.
# Step 1: Clone the project
git clone <repository-url>
cd mcp_server
# Step 2: Install dependencies (dev mode)
pip install -e ".[dev]"
# Alternatively, use the UV runner
uv pip install --editable ".[dev]"You can run the server in stdio mode and configure it via environment variables.
# Start the server in stdio mode
python mcp_server/main.py stdio
```
Environment variables you can set include:
- 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 defining security parameters (such as API keys).
Refer to the main startup logic for exact loading behavior and fallback rules.The server's runtime mode is stdio by default in this setup. You can also explore other transport modes if you extend the server, but stdio is the simplest for local testing and client development.
Protect configuration data and security keys. Store CONFIG and SECURITY values securely and avoid attaching them to public logs or command histories. Use separate configurations for development and production, and rotate keys as needed.
If the server fails to start, verify Python 3.9+ is installed, dependencies are installed, and the referenced files exist (such as mcp_server/main.py and any config paths). Check that environment variables are provided when required and that the command line matches the expected stdio startup flow.
Check code quality and formatting using linting rules; ensures consistent style and detects potential issues.
Run static analysis tools to catch type and security issues before runtime (e.g., mypy, bandit, semgrep).
Execute the test suite to verify correctness and to measure test coverage.
Launch the MCP server in stdio mode and establish the MCP transport for client interaction.