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mcp-kibela 🗒️

Source

MCP server implementation that enables AI assistants to search and reference Kibela content

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Overview

MCP-kibela is a Model Context Protocol (MCP) server implementation that allows AI assistants to search and reference content stored in Kibela, enhancing the capabilities of AI models like Claude to access and utilize information securely.

To use mcp-kibela, you need to install it via npm or build it from source. After installation, configure it with your Kibela team name and API token, and integrate it with your AI assistant.

  • 🔍 Note Search: Search Kibela notes by keywords. - 📝 My Notes: Fetch your latest notes. - 📖 Note Content: Retrieve note content and comments by ID. - 🔗 Note by Path: Access note content by its path.
  1. Enabling AI assistants to provide quick access to relevant notes.
  2. Assisting users in retrieving specific information from their Kibela content.
  3. Enhancing productivity by integrating note-taking with AI functionalities.

Add to your AI client

Use these steps to connect mcp-kibela 🗒️ in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "mcp-kibela-kj455": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-kibela-kj455"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "mcp-kibela-kj455": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-kibela-kj455"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "mcp-kibela-kj455": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-kibela-kj455"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "mcp-kibela-kj455": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-kibela-kj455"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "mcp-kibela-kj455": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-kibela-kj455"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "mcp-kibela-kj455": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-kibela-kj455"
      ]
    }
  }
}

FAQ

Can mcp-kibela be used with any AI assistant?

Yes! It is designed to work with various AI models that support MCP.

Is there a specific version of Node.js required?

Yes, Node.js version 18 or higher is required to run mcp-kibela.

How do I get my Kibela API token?

You can obtain your Kibela API token by following the instructions in the Kibela support documentation.7:["$","

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