Create MCP-Enabled AI Teammates with Runbear in 10 Minutes
AI Summary
In this video, the creator demonstrates how to create AI teammates using RunBar, which integrates various services seamlessly. The process is straightforward and requires no coding, allowing users to set up AI assistants in under 10 minutes. The video features a practical example where an AI assistant, named “research helper,” retrieves detailed technical information about GPT-4.1 from an MCP server. The setup involves selecting a name, defining a system prompt, and integrating tools like Slack and Google Drive. Additional features include smart reply functionality, enabling the AI to automatically provide relevant information in private responses to users. A marketplace within RunBar offers various MCP servers and integrations, allowing for flexibility and customized assistant functions. The video concludes by encouraging viewers to explore use cases for effective team collaboration with AI agents.
Description
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Create AI Teammates in 10 Mins!
In this video, I’ll show you how to create your own AI teammates using Runbear! 🐻 With thousands of MCP integrations available, you can seamlessly integrate AI assistants into platforms like Slack, Discord, and more. No coding required! I’ll demonstrate how to set up an AI research assistant with detailed steps on naming, setting up system prompts, using different anthropic models, and adding integrations like Google Drive and Notion. Learn how smart reply works to provide relevant info and explore different use cases for your AI teammate. Don’t forget to check the links in the description for more examples and resources. If you find this video helpful, please comment, share, and subscribe! 😊
00:00 Introduction to AI Teammates with Runbear
00:32 Setting Up Your AI Teammate
00:36 Demonstration: Research Helper AI Assistant
01:36 Creating and Configuring Assistants
03:10 Integrating MCP Servers and Services
04:59 Using the Assistant in Slack
07:47 Smart Reply and Advanced Features
08:54 Exploring Use Cases and Conclusion