UBOS Asset Marketplace: Unleash the Power of PubNub MCP Server for Your AI Agents

In the rapidly evolving landscape of AI and machine learning, the ability of AI agents to access and interact with real-time data and external tools is paramount. UBOS understands this need and is proud to present the PubNub Model Context Protocol (MCP) Server, now available on the UBOS Asset Marketplace. This powerful tool bridges the gap between Large Language Models (LLMs) and PubNub’s robust real-time communication platform, empowering your AI agents with enhanced context and capabilities.

What is the PubNub MCP Server?

The PubNub MCP Server is a command-line interface (CLI)-based server that acts as an intermediary between LLM-powered tools and PubNub’s Software Development Kits (SDKs) and Application Programming Interfaces (APIs). By exposing PubNub resources in a structured and accessible manner, the MCP Server significantly improves an AI agent’s ability to understand and interact with PubNub’s functionalities.

Imagine an AI agent tasked with building a real-time chat application. Without the MCP Server, the agent would need to parse through extensive documentation and code examples to understand how to use PubNub’s APIs for message publishing, subscription, and presence management. This process is time-consuming, error-prone, and often leads to suboptimal solutions.

With the PubNub MCP Server, the AI agent can directly query the server for information on specific API methods, code snippets, and best practices. The server provides structured responses that the agent can easily interpret and use to generate efficient and accurate code. This streamlined workflow significantly accelerates the development process and improves the quality of the final product.

Key Features and Benefits

The PubNub MCP Server boasts a comprehensive set of features designed to empower AI agents and streamline the development of real-time applications. Some of the most notable features include:

• SDK Documentation Retrieval: Access official PubNub SDK documentation in various languages (JavaScript, Python, Java, Go, Ruby, Swift, Objective-C, C#, PHP, Rust, Unity, Kotlin, Unreal) directly through the MCP Server. This eliminates the need for AI agents to scrape and parse through web pages, ensuring access to the most up-to-date and accurate information.
• Chat SDK Support: Extend your AI agent’s capabilities to include real-time chat functionalities with support for PubNub Chat SDK documentation. Access topics such as configuration, chat, channel, user, message, membership, thread-channel, thread-message, message-draft, event, access-control, and glossary.
• Conceptual Guides and How-to Documentation: Leverage a wealth of knowledge through local markdown files containing PubNub conceptual guides, feature explanations, security best practices, and step-by-step instructions for common tasks like sending and receiving JSON data or encrypting messages and files.
• Message Publishing and Subscription: Enable AI agents to publish messages to PubNub channels using the publish_pubnub_message tool and subscribe to channels to receive real-time messages with pubnub_subscribe_and_receive_messages. The latter supports single or multiple message collection with optional timeouts.
• Message History Retrieval: Empower AI agents to fetch historical messages from one or more channels using the get_pubnub_messages tool. The returned data includes message content and metadata in JSON format, providing valuable context for analysis and decision-making.
• Presence Information: Equip AI agents with real-time presence information, including occupancy counts and subscriber UUIDs, for channels and channel groups using the get_pubnub_presence tool. This allows agents to monitor channel activity and adapt their behavior accordingly.
• Application Generation: Automate the creation of PubNub applications with the write_pubnub_app tool. This tool generates step-by-step instructions and code snippets for initializing the PubNub SDK in multiple languages, significantly reducing the time and effort required to set up a new application.
• Account Management: Streamline PubNub account management with the manage_pubnub_account tool. This tool supports create, list, and delete operations for both apps and API keys, allowing AI agents to automate administrative tasks.
• Environment Variable Configuration: Securely configure the PubNub MCP Server using environment variables like PUBNUB_PUBLISH_KEY and PUBNUB_SUBSCRIBE_KEY for authenticating SDK operations.
• HTML to Markdown Conversion: Ensure consistent documentation formatting by converting remote HTML articles to Markdown using jsdom and turndown.
• Input Validation: Guarantee robust error handling with Zod schemas for all tool parameters, ensuring that inputs are valid and prevent unexpected behavior.
• Extensible Architecture: Leverage the Model Context Protocol SDK (@modelcontextprotocol/sdk) with McpServer and StdioServerTransport for extensible tool definitions.

Use Cases

The PubNub MCP Server unlocks a wide range of use cases for AI agents, enabling them to build more intelligent and responsive real-time applications. Some examples include:

• Real-time Chat Applications: AI agents can leverage the MCP Server to build feature-rich chat applications with functionalities like message publishing, subscription, presence management, and message history retrieval.
• Live Streaming Platforms: Integrate real-time chat and interactive features into live streaming platforms using the MCP Server. AI agents can manage user interactions, moderate content, and provide personalized recommendations.
• Multiplayer Games: Enhance the gaming experience with real-time communication and data synchronization powered by the MCP Server. AI agents can manage player interactions, track game progress, and provide dynamic content updates.
• Real-time Tracking and Monitoring: Build applications for tracking assets, monitoring environmental conditions, or managing logistics using the MCP Server. AI agents can collect and analyze real-time data, trigger alerts, and automate responses.
• Collaborative Workspaces: Facilitate real-time collaboration in shared workspaces using the MCP Server. AI agents can manage user access, track document changes, and provide contextual assistance.

Getting Started with the PubNub MCP Server on UBOS

Integrating the PubNub MCP Server into your UBOS workflow is a straightforward process. Follow these steps to get started:

1. Install Prerequisites: Ensure that you have Node.js (>= 18) and npm installed on your system.

2. Install the MCP Server: Use npx to install the PubNub MCP Server globally: bash npx -y @pubnub/mcp

3. Configure Cursor IDE: If you are using Cursor IDE, configure the MCP Server globally or per project by creating or editing the ~/.cursor/mcp.json or .cursor/mcp.json file, respectively. Provide the necessary PubNub API keys and server configuration details.

4. Set Environment Variables: Set the PUBNUB_PUBLISH_KEY and PUBNUB_SUBSCRIBE_KEY environment variables with your PubNub API keys.

5. Start the MCP Server: Start the MCP Server using npx -y @pubnub/mcp. You can also enable Server-Sent Events (SSE) mode by exporting the HTTP_PORT environment variable.

6. Test the Integration: Verify that the MCP Server is working correctly by invoking available resources in Cursor IDE or using direct JSON-RPC command-line usage.

Example Prompts for AI Agents

To showcase the power of the PubNub MCP Server, here are some example prompts that you can use with your AI agents:

• “Write a PubNub app that lets the user watch streaming videos with built-in multi-user chat.”
• “Write a PubNub app for on-demand delivery of groceries with a map.”
• “Build a PubNub JavaScript app that subscribes to the my_channel channel and logs messages to the console.”
• “Publish a message to the my_channel channel with the message Hello, PubNub!.”
• “Show me the PubNub JavaScript SDK documentation for subscribe().”
• “Fetch the Python SDK docs for the publish() method.”
• “Retrieve presence information (occupancy and UUIDs) for the test channel and the default channel group.”

Why Choose the UBOS Platform?

UBOS is a full-stack AI Agent Development Platform that empowers businesses to orchestrate AI agents, connect them with enterprise data, build custom AI agents with their LLM models, and create sophisticated Multi-Agent Systems. By offering the PubNub MCP Server on the UBOS Asset Marketplace, we are providing our users with a valuable tool that enhances the capabilities of their AI agents and accelerates the development of real-time applications.

UBOS provides a unified platform to:

• Design and Orchestrate AI Agents: Define the roles, responsibilities, and interactions of your AI agents using a visual workflow designer.
• Connect to Enterprise Data: Securely connect your AI agents to various data sources, including databases, APIs, and cloud storage services.
• Customize with LLMs: Integrate your preferred Large Language Models (LLMs) into your AI agents to enhance their natural language processing and reasoning capabilities.
• Build Multi-Agent Systems: Create complex systems of interacting AI agents to solve challenging problems and automate complex tasks.

By combining the power of the PubNub MCP Server with the capabilities of the UBOS platform, you can unlock a new level of intelligence and automation in your real-time applications. Start building today and experience the future of AI-powered communication!

Conclusion

The PubNub MCP Server is a game-changer for AI agents working with real-time data and communication. By providing a structured and accessible interface to PubNub’s powerful platform, the MCP Server empowers AI agents to build more intelligent, responsive, and feature-rich applications. Available now on the UBOS Asset Marketplace, the PubNub MCP Server is an essential tool for any developer looking to leverage the power of AI in the real-time world.