Runbear.io – AI-Powered Team Assistant Platform

Boost your Slack, Teams, Discord, and more with AI agents — ready in 10 minutes, no coding!

Check out Runbear

Runbear.io is a no-code platform for building AI-powered assistants that work inside Slack and Microsoft Teams. Using Model Context Protocol (MCP), it connects AI models like Claude to over 2,500 services such as Gmail and HubSpot. Teams can interact with AI agents directly in chat, automating tasks and accessing real-time data without writing code. It’s ideal for organizations looking to embed smart assistants into everyday workflows quickly and securely.

Features

Runbear.io offers a rich set of features centered around AI automation and integration:

• Slack/Teams Integration via MCP: Runbear uses Model Context Protocol to embed Claude and other AI models directly into Slack and Teams. This allows users to ask questions or give commands within chat and receive instant, contextual responses—no setup or coding required.

• 2,500+ App Integrations: Through MCP servers, Runbear connects assistants to thousands of services like Google Calendar, Gmail, HubSpot, Jira, and databases. AI agents can check calendars, search emails, or update CRM records—right from Slack.

• Model Flexibility: Runbear supports OpenAI, Claude, and custom LLMs, and works with frameworks like LangChain or custom Python logic. You can mix and match tools to create anything from simple bots to complex workflows.

• Knowledge Integration (RAG): Assistants can access and retrieve data from Google Drive, Notion, Confluence, and uploaded documents using Retrieval-Augmented Generation. This enables them to answer with internal, context-rich information.

• No-Code Assistant Builder: Set up an AI agent in under 10 minutes with a guided UI. Pick a model, define instructions, add connections, and deploy—all without coding. Advanced users can also define system prompts and functions.

• Advanced Capabilities: Assistants can summarize messages, schedule meetings, search the web, analyze documents, or run custom code via Python or APIs. Runbear turns AI from a chat tool into an actual digital teammate.

Pros & Cons

• Pros:

  • Fast and intuitive setup: The no-code builder enables non-technical users to get started quickly.

  • Deep native integration with communication platforms: Assistants can be deployed directly into Slack or Teams and interact naturally in conversations.

  • Expansive connectivity: Access to over 2,500 services via MCP enables robust workflow automation.

  • Multi-model flexibility: Choose from Claude, GPT, or custom LLMs to match your preferred AI ecosystem.

  • Strong knowledge base access: Connect to Notion, Confluence, Google Drive, and more for context-rich answers.

  • Data privacy first: No conversation content is stored; SOC 2 compliance available for enterprise use.

  • Solid documentation and support: Helpful resources and responsive support across paid plans.

• Cons:

  • Limited free usage: Free plan allows only 10 messages, making it more of a demo tier.

  • Advanced custom functions may require technical expertise: While most features are no-code, integrating APIs or writing Python scripts can require developer involvement.

  • AI accuracy varies: Output quality depends on model choice and configuration.

Use Cases

Runbear.io is versatile and can be applied to numerous everyday business scenarios.

Here are a few prominent use cases where it shines:

• Answering Repetitive Questions in Slack: One popular use case is having AI handle frequently asked questions in team chats. For example, an HR assistant bot can answer common policy or benefits questions from employees, or an IT bot can respond to “How do I access VPN?” inquiries. Runbear enables such assistants to monitor Slack channels and provide instant answers to common questions, without someone having to manually intervene. This reduces interruptions and ensures people get information quickly. Notably, the AI can be configured to proactively answer when it recognizes a question (no need for a special command), seamlessly blending into the conversation.

  
  

• Summarizing Emails and Threads: Busy professionals often deal with long email threads or Slack discussions. Runbear’s Slack integration plus external email access (via MCP) allows an assistant to summarize lengthy communications. For instance, a sales team could have an AI agent connected to Gmail or Outlook that, on command, summarizes an email conversation with a prospect and posts the summary in Slack for the team. Similarly, in Slack itself, the assistant can summarize multi-paragraph discussions into a concise recap. This use case saves time and ensures everyone is on the same page without reading through massive threads.

  
  

• Finding Meeting Slots & Scheduling: Scheduling meetings across a team can be tedious. Runbear can alleviate this by connecting to calendars (e.g. Google Calendar via MCP) and acting as a smart scheduler. A user could ask the Slack AI, “Find a 30-minute slot for me, Alice, and Bob next week,” and the assistant will check everyone’s calendars and suggest open time slots. It can even book the meeting if given permission. This real-time calendar coordination is incredibly useful for busy teams, essentially adding a virtual scheduling assistant to your Slack. It eliminates the back-and-forth of email or chat scheduling and avoids double-bookings.

  
  

(Beyond these, Runbear’s flexibility means it can drive many other use cases: from drafting meeting agendas, to pulling CRM data on command (e.g. “AI, show this client’s latest HubSpot notes”), to automating follow-ups and task creation. Teams across sales, support, operations, and engineering can all benefit from customized AI helpers embedded in their workflow.)

Pricing

Runbear.io offers a straightforward tiered pricing model:

• Free Plan: 1 assistant, 10 total messages, full feature access for trials.

• Team Plan: $79/month (annual billing) includes 5 assistants, 5,000 messages, 100 users, and support.

• Enterprise Plan: From $999/month with unlimited usage, custom workflows, SOC 2 compliance, and 24/7 support.

  
  

No matter the plan, you can start with the free tier and later upgrade. Given the potential productivity gains, the Team plan is reasonably priced for businesses, and the Enterprise plan is in line with typical SaaS enterprise pricing when considering the included support and compliance assurances.

Compatibility and Integrations

One of Runbear’s strongest suits is its extensive compatibility with other platforms and data sources. It’s designed to plug into the tools you already use:

• Communication Platforms: 

  Natively supports Slack, Microsoft Teams, Discord and more as channels where your AI assistants can live. This means whether your organization uses Slack workspaces or Teams channels, Runbear can integrate an AI agent there. The experience is like having an extra team member in chat who can be mentioned (@Runbear or custom name) to assist.

• Knowledge Bases and Documents: 

  Runbear integrates with popular content and document repositories including Google Drive, Confluence, Notion, as well as allowing direct file uploads (PDFs, Word docs, etc.). By connecting these, the AI always has access to the latest information from your company wiki, manuals, or knowledge base. The integration is dynamic – if your Confluence pages update, the assistant’s knowledge updates accordingly, so it always references current data.

• Business Applications (CRM, Support, etc.): 

  Integrates with key business tools like HubSpot, Gmail, and Zendesk, enabling tasks like pulling CRM data, sending emails, or logging support tickets without leaving chat.

• MCP Integrations (2500+ Apps): 

  Through Model Context Protocol servers, Runbear can tap into a vast array of third-party services – over 2,500 apps are accessible. These range from calendars and office tools (Google Calendar, Gmail, Office 365) to project management (Asana, Trello), databases, cloud services, and beyond. Practically any app with an API could be made available to the AI.

• AI and Developer Ecosystem: 

  Compatible with major models (Claude, GPT, Gemini), and supports custom code via LangChain and Python, giving technical teams tools to build more advanced workflows and logic.

Rating Overview

• Ease of Use (4.5) – The no-code builder and guided setup allow even non-technical users to create assistants quickly. Slack and Teams integration is simple, and app connections require minimal setup. There's a small learning curve for advanced structuring, but documentation is solid.

• Functionality and Features (4.7) – Runbear covers a wide range of capabilities: RAG, web browsing, image understanding, conversation summarization, and automation across 2,500+ tools. Great out-of-the-box utility with room to grow for advanced users.

• Customization and Flexibility (4.6) – Highly customizable instructions, behavior, and app integrations. Supports multiple AI models and custom functions via Python and APIs. Power users can build sophisticated assistants, though some low-code templates could help less technical users.

• Performance and Reliability (4.3) – Reliable performance with responsive AI replies. Depends on external model APIs (e.g., OpenAI), so occasional slowdowns are possible. Uptime and stability have been good overall.

• Support and Resources (4.5) – Strong documentation, active roadmap, and responsive support, especially for paid tiers. Enterprise users get training and 24/7 support. A bit more in-app guidance would improve onboarding.

• Cost-Effectiveness (4.3) – Runbear offers solid value, especially with the Team plan. While the Enterprise tier may be expensive for small businesses, the time saved by automating workflows often offsets the price. For teams that embed assistants into daily processes, ROI is high. Compared to custom development, Runbear is a much more affordable option.

• Data Privacy and Security (4.8) – Strong privacy policies: no message content stored, secure access tokens, and SOC 2 Type II compliance available. Fine-grained control over connected services.

• Innovation and Updates (4.7) – Leading-edge features like Slack MCP, rapid rollout of Teams support, and continuous expansion of supported tools and models. Fast-moving roadmap with active feedback loop.

Overall Rating of this Team Assistant Platform: 4.6/5

Runbear.io is a forward-looking, highly capable AI automation platform with exceptional integrations and customization options. A great fit for mid-size to large teams ready to embed AI into everyday operations.

Conclusion

Runbear.io is a versatile platform that helps teams integrate powerful AI agents into daily workflows without coding. It stands out for its seamless Slack and Teams integration, wide service connectivity, and practical automation features. Whether it’s answering internal questions, summarizing conversations, or scheduling meetings, Runbear acts like an AI teammate that boosts efficiency across departments. With strong privacy controls, enterprise-grade support, and constant updates, it’s well-suited for businesses looking to adopt AI without reinventing their processes.

Check out Runbear