What is an MCP Server?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). An MCP Server acts as a bridge, allowing AI models to access and interact with external data sources and tools like Sendblue's messaging capabilities.

Sendblue is a platform that provides iMessage and SMS communication capabilities. The Sendblue MCP Server allows LLMs to use Sendblue's services programmatically.

What can I do with the Sendblue MCP Server?

You can use the Sendblue MCP Server to enable your LLMs to send messages (both individual and group), check if a number supports iMessage or SMS, send typing indicators, retrieve message history, add recipients to groups, and upload media for sending.

Do I need a Sendblue account to use this?

Yes, you need a Sendblue account with valid API credentials (API Key ID and Secret Key) to authenticate with the Sendblue API through the MCP server.

How do I get Sendblue API credentials?

Sign up for a Sendblue account at [https://sendblue.co/](https://sendblue.co/). Once logged in, navigate to the API dashboard and generate your API Key ID and API Secret Key. Store these credentials securely.

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.

How does the Sendblue MCP Server integrate with UBOS?

The Sendblue MCP Server is available as an asset on the UBOS Asset Marketplace, providing a streamlined installation and configuration process for integrating Sendblue's messaging capabilities into your AI Agent workflows on the UBOS platform.

What are the benefits of using the Sendblue MCP Server on UBOS?

Benefits include seamless integration, simplified development (due to the MCP standard), scalability and reliability (provided by UBOS), enhanced security, and comprehensive support from the UBOS team.

What programming language is required?

The Sendblue MCP Server is written in Python and requires Python 3.10 or higher.

What if the MCP server doesn't appear in Claude Desktop?

Check Claude's logs, verify your `.env` file has valid Sendblue API credentials, ensure the path in the config file is absolute and correct, and try restarting the client application completely.

How do I configure the server?

Configuration is primarily managed through environment variables. The most important are `SENDBLUE_API_KEY_ID` and `SENDBLUE_API_SECRET_KEY`. These can be set in a `.env` file, within your system profile, or directly in the Claude Desktop configuration file. Other variables include `MCP_TRANSPORT` and `MCP_HTTP_PORT`.

Where can I find the API documentation?

The project includes generated API documentation in the `./api-docs/README.md` file, as well as the original Sendblue API documentation in `./sendblue-docs/README.md`.

What is the license for this project?

This project is licensed under the MIT License. See the LICENSE file for details.

Sendblue Messaging Server – Overview

Unleash the Power of Messaging in Your LLMs with Sendblue MCP Server on UBOS

In the rapidly evolving landscape of AI, the ability for Large Language Models (LLMs) to seamlessly interact with the real world is becoming increasingly crucial. The UBOS platform understands this need and provides a comprehensive suite of tools to empower businesses to build sophisticated AI Agents that can automate tasks, improve communication, and drive innovation. A key component of this ecosystem is the integration of messaging capabilities, and the Sendblue MCP (Model Context Protocol) Server, now available on the UBOS Asset Marketplace, is designed to do just that.

What is the Sendblue MCP Server?

The Sendblue MCP Server acts as a critical bridge between your LLMs and Sendblue’s robust iMessage and SMS infrastructure. It adheres to the Model Context Protocol (MCP), an open standard that defines how applications expose their functionalities to LLMs in a consistent and predictable manner. This means that instead of wrestling with complex API integrations, you can leverage the Sendblue MCP Server to enable your AI Agents to send messages, manage contacts, and perform other communication-related tasks through a simple, standardized interface.

Key Features and Functionalities

send_message: This tool allows your LLMs to send individual messages via iMessage or SMS. It supports a wide range of message types, including text, media attachments, and expressive styles, enabling you to create engaging and personalized communication experiences. Imagine an AI Agent automatically sending appointment reminders with branded images or notifying users of critical alerts with rich media.
send_group_message: Facilitates sending messages to existing group chats, enabling LLMs to participate in group conversations or broadcast important information to multiple recipients simultaneously. This is invaluable for scenarios like team collaboration, community updates, or group-based marketing campaigns.
lookup_number_service: Allows your LLMs to determine whether a given phone number supports iMessage or SMS, ensuring that messages are delivered through the optimal channel. This intelligent routing capability enhances deliverability and improves the overall user experience.
send_typing_indicator: Simulates a more human-like interaction by sending typing indicators to recipients, providing visual feedback that the AI Agent is actively composing a message. This seemingly small detail can significantly enhance the perceived responsiveness and trustworthiness of your AI Agents.
get_message_history: Enables your LLMs to retrieve message history, providing valuable context for ongoing conversations and enabling more intelligent and personalized responses. This feature is crucial for building AI Agents that can remember past interactions and tailor their communication accordingly.
add_recipient_to_group: Allows your LLMs to programmatically add new recipients to existing group chats, streamlining group management and simplifying the process of expanding your communication reach. This is especially useful for automatically adding new members to a team chat or onboarding new customers to a promotional group.
upload_media_for_sending: Enables your LLMs to upload media files from URLs to Sendblue’s servers, simplifying the process of sending images, videos, and other multimedia content. This feature eliminates the need to manage media storage and delivery infrastructure yourself, allowing you to focus on crafting compelling message content.

Use Cases: Transforming Business Communication with AI

The Sendblue MCP Server opens up a vast array of possibilities for transforming business communication with AI. Here are just a few examples:

Automated Customer Support: Build AI Agents that can handle common customer inquiries via SMS or iMessage, providing instant support and resolving issues quickly and efficiently. These agents can leverage the get_message_history tool to understand the customer’s past interactions and provide personalized assistance.
Proactive Sales and Marketing: Create AI Agents that can proactively engage with potential customers via SMS, sending personalized offers, product recommendations, or appointment reminders. The lookup_number_service ensures that messages are delivered via the most appropriate channel, maximizing reach and engagement.
Real-Time Notifications and Alerts: Implement AI Agents that can send real-time notifications and alerts via SMS or iMessage, keeping users informed about critical events, system updates, or important deadlines. The send_message tool allows you to craft concise and informative messages that grab attention and drive action.
Enhanced Team Collaboration: Develop AI Agents that can facilitate team collaboration by sending group messages, sharing files, and managing meeting schedules via SMS or iMessage. The add_recipient_to_group tool simplifies the process of onboarding new team members and keeping everyone in the loop.
Personalized Communication Experiences: Craft AI Agents that can tailor their communication style and content based on individual user preferences, creating more engaging and effective interactions. By leveraging the send_typing_indicator, you can even simulate a more human-like interaction, building trust and rapport with your audience.

Why Choose the Sendblue MCP Server on UBOS?

Integrating the Sendblue MCP Server with the UBOS platform offers several distinct advantages:

Seamless Integration: The UBOS Asset Marketplace provides a streamlined installation and configuration process, making it easy to integrate the Sendblue MCP Server into your existing AI Agent workflows. No more wrestling with complex API integrations or troubleshooting compatibility issues.
Simplified Development: The MCP standard provides a consistent and predictable interface for interacting with Sendblue’s messaging capabilities, simplifying the development process and reducing the learning curve for your AI Agent developers. Focus on building innovative applications, not on managing intricate API calls.
Scalability and Reliability: The UBOS platform provides a robust and scalable infrastructure that can handle the demands of your most ambitious AI Agent deployments. Rest assured that your messaging infrastructure can keep pace with your growth.
Enhanced Security: The UBOS platform incorporates industry-leading security measures to protect your data and ensure the privacy of your users. Leverage secure communication channels to safeguard sensitive information.
Comprehensive Support: The UBOS team provides comprehensive support and documentation to help you get the most out of the Sendblue MCP Server. We’re here to help you succeed every step of the way.

Getting Started with the Sendblue MCP Server on UBOS

Integrating Sendblue MCP Server into your UBOS-powered AI Agents is straightforward:

Access the UBOS Asset Marketplace: Navigate to the Asset Marketplace within the UBOS platform.
Locate the Sendblue MCP Server: Search for “Sendblue MCP Server” and select the asset.
Install and Configure: Follow the on-screen instructions to install the server and configure your Sendblue API credentials.
Integrate into Your AI Agents: Utilize the MCP interface to seamlessly integrate Sendblue’s messaging capabilities into your AI Agent workflows.

The UBOS Advantage: A Full-Stack AI Agent Development Platform

UBOS is more than just a platform for hosting MCP servers; it’s a comprehensive ecosystem for building, deploying, and managing AI Agents. Our platform provides all the tools you need to:

Orchestrate AI Agents: Design and orchestrate complex multi-agent systems that can collaborate to solve challenging problems.
Connect to Enterprise Data: Seamlessly connect your AI Agents to your existing enterprise data sources, enabling them to access and process valuable information.
Build Custom AI Agents: Develop custom AI Agents tailored to your specific business needs, leveraging your own LLM models and proprietary data.
Monitor and Manage Performance: Track the performance of your AI Agents and identify areas for improvement, ensuring that they are delivering maximum value to your business.

By combining the power of the Sendblue MCP Server with the robust capabilities of the UBOS platform, you can unlock a new era of intelligent communication and automation. Start building your AI-powered messaging solutions today!

Conclusion

The Sendblue MCP Server on the UBOS Asset Marketplace provides a powerful and convenient way to integrate messaging capabilities into your LLMs. By leveraging this tool, you can build AI Agents that can communicate with customers, collaborate with teams, and automate a wide range of business processes. The UBOS platform provides the comprehensive infrastructure and support you need to succeed, enabling you to unlock the full potential of AI-powered communication. Embrace the future of AI with UBOS and Sendblue.