Turn Your AI Assistant Into a Kibela Expert

Your team's knowledge lives in Kibela, but your AI assistant has been flying blind. Not anymore.

This MCP server connects Claude, Cursor, and other AI tools directly to your Kibela workspace. Now your AI can search your team's documentation, reference existing notes, and even create new ones - all without you having to copy-paste or explain context every single time.

Why This Changes Everything

Stop explaining the same project details to Claude repeatedly. Stop hunting through Kibela to copy relevant documentation into your AI conversations. Your assistant can now search your team's knowledge base directly and pull exactly what it needs.

When you're debugging an issue, your AI can instantly reference your team's troubleshooting guides. Planning a new feature? It can pull up your architecture decisions and coding standards. Writing documentation? It knows what already exists and can build on it consistently.

What You Get

Intelligent Search: Your AI searches Kibela notes by keywords and finds relevant context automatically Full Note Access: Read complete note content and comments - your AI sees everything you do Content Creation: Create new notes directly through AI conversations Live Updates: Modify existing notes without leaving your AI workflow Zero Context Switching: No more tab-jumping between your AI and Kibela

Perfect For These Workflows

Technical Documentation: "Claude, check if we have docs on our authentication flow, then create a new troubleshooting guide based on this error"

Code Reviews: "Search our coding standards for API endpoint conventions, then review this pull request"

Architecture Planning: "Pull up our database schema docs and help me design this new feature integration"

Team Onboarding: "Create a setup guide for new developers based on our existing environment docs"

Meeting Prep: "Find all notes about the user dashboard project and summarize current status"

Quick Setup

The Docker approach gets you running in minutes:

{
  "mcpServers": {
    "mcp-kibela": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "KIBELA_TEAM",
        "-e", "KIBELA_TOKEN",
        "ghcr.io/kj455/mcp-kibela:latest"
      ],
      "env": {
        "KIBELA_TEAM": "your-team-name",
        "KIBELA_TOKEN": "your-api-token"
      }
    }
  }
}

Works with Claude Desktop, Cursor, VSCode, and any MCP-compatible client. The installation through Smithery is even simpler:

npx @smithery/cli install @kj455/mcp-kibela --client claude

Your AI Just Got Smarter

Instead of being a generic assistant that knows nothing about your team's context, your AI becomes an expert on your projects, processes, and documentation. It's like having a new team member who's instantly read everything in your knowledge base.

Ready to stop re-explaining your codebase to AI? Get your team's knowledge working for you instead of sitting in Kibela unused.