MCP ExplorerExplorer

Mcp Kibela

@kj455on a year ago
12 MIT
FreeCommunity
AI Systems
MCP server implementation that enables AI assistants to search and reference Kibela content

Overview

What is Mcp Kibela

mcp-kibela is an MCP server implementation that allows AI assistants to search and reference content stored in Kibela, enabling secure access to information for AI models like Claude.

Use cases

Use cases for mcp-kibela include enhancing AI assistants with the ability to retrieve and manage knowledge stored in Kibela, facilitating efficient information access for teams, and supporting collaborative workflows.

How to use

To use mcp-kibela, install it via npm or Smithery, configure it with your Kibela team name and access token, and integrate it with your AI assistant. You can perform operations like searching notes, fetching content, and creating or updating notes.

Key features

Key features include note search by keywords, fetching latest notes, retrieving note content and comments by ID, accessing notes by path, creating new notes, and updating existing note content.

Where to use

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Content

mcp-kibela 🗒️

smithery badge
npm version
License: MIT

A Model Context Protocol (MCP) server implementation that enables AI assistants to search and reference Kibela content. This setup allows AI models like Claude to securely access information stored in Kibela.

Features 🚀

The mcp-kibela server provides the following features:

  • Note Search: Search Kibela notes by keywords
  • My Notes: Fetch your latest notes
  • Note Content: Get note content and comments by ID
  • Note by Path: Get note content by path
  • Create Note: Create a new note
  • Update Note Content: Update note content by note id

Prerequisites 📋

Before you begin, ensure you have:

  • Node.js (v18 or higher)
  • MCP Client (Claude Desktop, Cursor, etc.)
  • Kibela Access Token (How to get a token)
  • Git (if building from source)

Installation 🛠️

Usage with Cursor

{
  "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 from https://[team-name].kibe.la",
      "KIBELA_TOKEN": "your-token"
    }
  }
}

Usage with VSCode

Usage with Claude Desktop

{
  "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 from https://[team-name].kibe.la",
        "KIBELA_TOKEN": "your-token"
      }
    }
  }
}

Using Smithery

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

Environment Variables

The following environment variables are required:

  • KIBELA_TEAM: Your Kibela team name (required). You can find it from the URL of your Kibela team page. e.g. https://[team-name].kibe.la
  • KIBELA_TOKEN: Your Kibela API token (required)

Contributing

Any contributions are welcome!

Development

  1. Use npm run build:watch to build the project in watch mode.
npm run build:watch
  1. Use npx @modelcontextprotocol/inspector to inspect the MCP server.
npx @modelcontextprotocol/inspector node /path/to/mcp-kibela/dist/index.js

License 📄

MIT

Tools

No tools

Comments

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