MCP Server for Evolution API: Unleashing the Power of Language Models with UBOS

In the rapidly evolving landscape of AI-driven applications, the ability to seamlessly integrate language models with existing systems is paramount. The MCP (Model Context Protocol) Server for Evolution API, available on the UBOS Asset Marketplace, provides a robust and efficient solution for bridging the gap between language models and the Evolution API, a powerful communication platform. This integration opens up a world of possibilities, enabling developers and businesses to leverage the power of AI in their communication workflows.

What is MCP and Why is it Important?

Before diving into the specifics of the MCP Server for Evolution API, it’s crucial to understand the underlying concept of MCP. MCP, or Model Context Protocol, is an open protocol designed to standardize how applications provide context to Language Learning Models (LLMs). It acts as a universal translator, allowing LLMs to interact with a wide range of external data sources and tools. Without a standardized protocol like MCP, integrating LLMs into existing systems becomes a complex and time-consuming process, often requiring custom code and ad-hoc solutions. MCP simplifies this process by providing a consistent and well-defined interface for LLMs to access and utilize external information.

Key Features and Functionalities

The MCP Server for Evolution API exposes a comprehensive set of functionalities from the Evolution API to language models, categorized as follows:

• Instance Management:
  • API and instance status verification: Ensure the Evolution API and associated instances are operational.
  • Instance creation, deletion, and restart: Manage instances dynamically to optimize resource utilization.
  • Presence management: Control the online/offline status of instances.
  • Logout: Securely disconnect instances.
• Message Sending:
  • Text messages: Send plain text messages.
  • Media messages (images, documents, videos, audios): Share various types of media files.
  • Stickers: Send expressive stickers.
  • Location: Share geographical locations.
  • Contacts: Share contact information.
  • Polls and lists: Create interactive polls and lists.
  • Status: Update the status of an instance.
• Chat Management:
  • WhatsApp number verification: Verify if a phone number is registered on WhatsApp.
  • Mark messages as read: Update message status.
  • Archive conversations: Organize and manage chats.
  • Delete messages: Remove messages.
  • Chat presence management: Control presence within chats.
  • Message and contact search: Easily find specific information.
• Profile Management:
  • Profile information search and update: Retrieve and modify profile details.
  • Profile picture update: Change profile pictures.
  • Privacy configuration: Manage privacy settings.
• Group Management:
  • Group creation and management: Create and administer groups.
  • Participant addition/removal: Manage group members.
  • Ephemeral message configuration: Set up disappearing messages.
  • Group invitations: Invite new members to groups.
• Additional Integrations:
  • Typebot: Integrate with Typebot, a conversational form builder.
  • Chatwoot: Integrate with Chatwoot, an open-source customer support platform.

Use Cases: Transforming Communication with AI

The MCP Server for Evolution API unlocks a wide range of use cases, transforming how businesses and individuals communicate and interact. Here are a few examples:

• AI-Powered Customer Support: Integrate language models with the Evolution API to create intelligent chatbots that can answer customer queries, provide support, and resolve issues automatically. This can significantly reduce customer support costs and improve customer satisfaction.
• Automated Marketing Campaigns: Use language models to personalize marketing messages and campaigns based on customer data and preferences. This can lead to higher engagement rates and improved ROI.
• Real-Time Translation: Integrate language models with the Evolution API to provide real-time translation of messages, enabling seamless communication between people who speak different languages.
• Content Creation: Leverage language models to generate content for various purposes, such as social media posts, blog articles, and marketing materials.
• Workflow Automation: Automate communication-related tasks, such as sending notifications, scheduling appointments, and managing contacts.
• Intelligent Assistants: Build personalized AI assistants that can handle communication tasks, manage schedules, and provide information on demand.

Installation and Configuration

The MCP Server for Evolution API can be installed and configured in several ways:

• Via NPM (locally): Install the server locally using NPM.
• Via NPX (without installation): Run the server directly using NPX without installing it.
• Via Docker: Deploy the server in a Docker container for easy deployment and scalability.

Detailed instructions for each installation method are provided in the project documentation.

Configuration involves setting up environment variables to connect to the Evolution API, including the API URL, API key, and instance ID. You can also enable the WebSocket server for remote connections and specify the port number.

Connection Methods

The MCP Server supports two connection methods:

• STDIO (Standard): Primarily used for local connections and integration with tools like Claude Desktop.
• WebSocket: Ideal for remote connections or when the server is running in a Docker container.

Integration with Tools

The MCP Server seamlessly integrates with popular tools like Claude Desktop and n8n. Configuration guides are available for both tools in the project documentation.

Available Tools and Resources

The MCP Server exposes a variety of tools that can be called by the MCP client, including:

• getApiStatus: Checks the status of the Evolution API.
• getInstanceStatus: Checks the status of the WhatsApp connection.
• setPresence: Sets the presence status.
• logoutInstance: Disconnects the instance.
• restartInstance: Restarts the instance.
• sendTextMessage: Sends a text message.
• sendMedia: Sends media (image, document, video, audio).
• sendAudio: Sends an audio message.
• sendSticker: Sends a sticker.
• sendLocation: Sends a location.
• sendContact: Sends a contact.
• sendPoll: Sends a poll.
• checkWhatsAppNumber: Verifies if a number is on WhatsApp.
• markMessageAsRead: Marks a message as read.
• archiveChat: Archives/unarchives a chat.
• deleteMessageForEveryone: Deletes a message for everyone.
• updateProfileName: Updates the profile name.
• updateProfileStatus: Updates the profile status.
• createGroup: Creates a new group.
• addGroupParticipants: Adds participants to a group.

The server also provides access to various resources, such as:

• contacts://list: Lists all available contacts.
• chats://list: Lists all available chats.
• groups://list: Lists all available groups.
• profile://info: Displays profile information.
• privacy://settings: Displays privacy settings.

Example Usage with Claude via MCP

The project documentation includes an example of how to use the MCP Server with Claude, demonstrating how to connect to the server, call tools, send messages, and load resources.

UBOS: Your Full-Stack AI Agent Development Platform

The MCP Server for Evolution API is a valuable asset for developers and businesses looking to integrate language models with the Evolution API. By leveraging the UBOS platform, you can further enhance your AI agent development capabilities.

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

With UBOS, you can:

• Orchestrate AI Agents: Design and manage complex workflows involving multiple AI Agents.
• Connect to Enterprise Data: Seamlessly integrate your AI Agents with your existing data sources.
• Build Custom AI Agents: Tailor AI Agents to your specific needs using your own LLM models.
• Create Multi-Agent Systems: Develop sophisticated AI systems that can solve complex problems collaboratively.

Conclusion

The MCP Server for Evolution API, available on the UBOS Asset Marketplace, provides a powerful and efficient solution for integrating language models with the Evolution API. By leveraging this integration, businesses and developers can unlock a wide range of use cases, transforming how they communicate and interact. Combine this with the power of the UBOS platform, and you have a complete solution for developing and deploying AI Agents that can revolutionize your business.