Skip to main content
Glama

Kibela MCP Server

Kibela MCP Server

NPM Version NPM Downloads License: MIT smithery badge Build and Push Docker Image Lint

MCP server implementation for Kibela API integration, enabling LLMs to interact with Kibela content.

Features

  • Search notes with advanced filters

  • Get your latest notes

  • Get note content and comments

  • Manage groups and folders

  • Like/unlike notes

  • List users

  • View note attachments

  • View recently viewed notes

  • Get notes by path

Configuration

Environment Variables

  • KIBELA_TEAM: Your Kibela team name (required)

  • KIBELA_TOKEN: Your Kibela API token (required)

Cursor Integration

Add to your ~/.cursor/mcp.json:

{ "mcpServers": { "kibela": { "command": "npx", "args": ["-y", "@kiwamizamurai/mcp-kibela-server"], "env": { "KIBELA_TEAM": "YOUR_TEAM_NAME", "KIBELA_TOKEN": "YOUR_TOKEN" } } } }

If you want to use docker instead

{ "mcpServers": { "kibela": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "KIBELA_TEAM", "-e", "KIBELA_TOKEN", "ghcr.io/kiwamizamurai/mcp-kibela-server:latest" ], "env": { "KIBELA_TEAM": "YOUR_TEAM_NAME", "KIBELA_TOKEN": "YOUR_TOKEN" } } } }

Tools

kibela_search_notes

Search Kibela notes with given query

  • Input:

    • query (string): Search query

    • coediting (boolean, optional): Filter by co-editing status

    • isArchived (boolean, optional): Filter by archive status

    • sortBy (string, optional): Sort by (RELEVANT, CONTENT_UPDATED_AT)

    • userIds (string[], optional): Filter by user IDs

    • folderIds (string[], optional): Filter by folder IDs

  • Returns: List of matching notes with ID, title, URL, author, groups and more

kibela_get_my_notes

Get your latest notes from Kibela

  • Input:

    • limit (number, optional): Number of notes to fetch (default: 15)

  • Returns: List of your latest notes with author information

kibela_get_note_content

Get content and comments of a specific note

  • Input:

    • id (string): Note ID

    • include_image_data (boolean, optional): Whether to include image data URLs in the response (default: false)

  • Returns: Full note content including HTML, comments, attachments, groups, folders and more

kibela_get_groups

Get list of accessible groups

  • Input: None

  • Returns: List of groups with details like privacy settings and permissions

kibela_get_group_folders

Get folders in a group

  • Input:

    • groupId (string): Group ID

    • parentFolderId (string, optional): Parent folder ID for nested folders

  • Returns: List of folders with their notes and metadata

kibela_get_group_notes

Get notes in a group that are not attached to any folder

  • Input:

    • groupId (string): Group ID

  • Returns: List of notes with author information, sorted by last update time

kibela_get_folder_notes

Get notes in a folder

  • Input:

    • folderId (string): Folder ID

    • limit (number, optional): Number of notes to fetch (default: 100)

  • Returns: List of notes with author information, sorted by last update time

kibela_get_users

Get list of users

  • Input: None

  • Returns: List of users with ID, account and real name

kibela_like_note

Like a note

  • Input:

    • noteId (string): Note ID

  • Returns: Updated likers list

kibela_unlike_note

Unlike a note

  • Input:

    • noteId (string): Note ID

  • Returns: Updated likers list

kibela_get_recently_viewed_notes

Get your recently viewed notes

  • Input:

    • limit (number, optional): Number of notes to fetch (max 15)

  • Returns: List of recently viewed notes with author information

kibela_get_note_from_path

Get note content by its path or URL

  • Input:

    • path (string): Note path (e.g. '/group/folder/note') or full Kibela URL (e.g. 'https://team.kibe.la/notes/123')

    • include_image_data (boolean, optional): Whether to include image data URLs in the response (default: false)

  • Returns: Full note content including HTML, comments, attachments, groups, folders and more

Local Development

Running from Source

  1. Clone the repository

  2. Install dependencies: npm install

Environment Setup

For local development, update your ~/.cursor/mcp.json:

{ "mcpServers": { "kibela": { "command": "node", "args": ["path/to/mcp-kibela-server/dist/src/index.js"], "env": { "KIBELA_TEAM": "YOUR_TEAM_NAME", "KIBELA_TOKEN": "YOUR_TOKEN" } } } }

MCP inspector

npx @modelcontextprotocol/inspector node ./dist/src/index.js

and set environemtns

Docker

Build and run locally:

docker build -t mcp-kibela-server .

Then use this configuration:

{ "mcpServers": { "kibela": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "KIBELA_TEAM", "-e", "KIBELA_TOKEN", "mcp-kibela-server" ], "env": { "KIBELA_TEAM": "YOUR_TEAM_NAME", "KIBELA_TOKEN": "YOUR_TOKEN" } } } }

For SSE transport, ensure the server URL is set to: http://localhost:3000/sse

Other products

Deploy Server
A
security – no known vulnerabilities
-
license - not tested
A
quality - confirmed to work

Related MCP Servers

  • A
    security
    -
    license
    A
    quality
    Enables efficient web search integration with Jina.ai's Search API, offering clean, LLM-optimized content retrieval with support for various content types and configurable caching.
    Last updated -
    18
    3
    MIT License
  • -
    security
    -
    license
    -
    quality
    Facilitates initiating Ollama queries via Claude and manages a simple note storage system with capabilities to add, summarize, and access notes using custom URIs.
  • -
    security
    -
    license
    -
    quality
    Enables interaction with Curri's API by managing text notes, offering tools for note creation, and generating summaries using structured prompts.
    Last updated -
    • Apple
  • A
    security
    -
    license
    A
    quality
    A Model Context Protocol server that enables AI assistants to search and access information stored in Kibela, supporting note search, retrieval, creation and updating.
    Last updated -
    6
    35
    12
    MIT License

View all related MCP servers

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kiwamizamurai/mcp-kibela-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server