MCP Server with Azure Communication Services Email

This MCP server bridges the gap between AI assistants and enterprise‑grade email delivery by leveraging Azure Communication Services (ACS). It exposes a simple, well‑defined tool that allows an AI client—such as Claude—to send emails directly from within a conversation, without needing to leave the chat interface or write custom integration code. By handling authentication, message formatting, and delivery through ACS, the server provides a reliable, scalable channel for transactional or notification emails that can be triggered by natural language prompts.

The core value proposition is the ability to transform a text‑based request into a fully‑qualified email transaction. Developers can define prompts that ask the assistant to “send an invoice” or “notify a user about a password reset,” and the MCP server translates those intents into an ACS API call. The server manages sender verification, attachment handling, and delivery status reporting, so the AI only needs to focus on conversational logic. This tight integration eliminates manual steps such as composing SMTP headers or handling bounce notifications, enabling rapid prototyping of email‑centric workflows.

Key capabilities include:

• Unified Email Tool – A single tool exposed via MCP that accepts recipient addresses, subject lines, body text (plain or HTML), and optional attachments. The tool validates input against ACS requirements and forwards the payload to the Azure backend.
• Authentication Management – Securely stores the ACS connection string and sender address in environment variables, ensuring that credentials never leak into the chat or logs.
• Reliability and Compliance – By using ACS, the server inherits built‑in deliverability guarantees, DKIM/SPF configuration, and compliance with regional email regulations. The AI can rely on the same infrastructure that powers Microsoft’s own email services.
• Extensibility – The server is built on a modular architecture, allowing future expansion to support additional ACS features such as email templates, analytics, or bulk sending.

Real‑world scenarios that benefit from this server include:

• Customer Support Automation – An AI agent can automatically send confirmation emails, ticket updates, or follow‑up messages after resolving a support issue.
• Marketing Campaigns – Developers can trigger personalized email blasts from within an AI workflow, combining natural language generation with dynamic content insertion.
• Operational Alerts – System monitoring tools can ask the AI to notify stakeholders via email when thresholds are breached, ensuring timely incident response.
• Onboarding Pipelines – New user registrations can be coupled with welcome emails that include account details or onboarding guides, all orchestrated by conversational prompts.

Integrating the MCP server into an AI workflow is straightforward: add the server’s endpoint to your MCP client configuration, expose the “send_email” tool in your prompt schema, and define intent handlers that call the tool with the required parameters. The server then takes care of all lower‑level details, returning success or error messages that the AI can surface to the user. This seamless coupling empowers developers to focus on conversational design while relying on a proven, cloud‑managed email platform for reliable delivery.