Kibela
Integrates with the Kibela API to manage knowledge-based content.
mcp-kibela 🗒️
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
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "kibela_team",
"description": "Kibela team name",
"password": false
},
{
"type": "promptString",
"id": "kibela_token",
"description": "Kibela token",
"password": true
},
],
"servers": {
"kibela": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"KIBELA_TEAM",
"-e",
"KIBELA_TOKEN",
"ghcr.io/kj455/mcp-kibela:latest"
],
"env": {
"KIBELA_TEAM": "${input:kibela_team}",
"KIBELA_TOKEN": "${input:kibela_token}"
}
}
}
}
}
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.laKIBELA_TOKEN: Your Kibela API token (required)
Contributing
Any contributions are welcome!
Development
- Use
npm run build:watchto build the project in watch mode.
npm run build:watch
- Use
npx @modelcontextprotocol/inspectorto inspect the MCP server.
npx @modelcontextprotocol/inspector node /path/to/mcp-kibela/dist/index.js
License 📄
MIT
Related Servers
Kone.vc
sponsorMonetize your AI agent with contextual product recommendations
Unmarkdown
The document publishing layer for AI tools: Create, style, and publish formatted documents from any MCP client.
OfficeRnD MCP Server
Read-only MCP server for the OfficeRnD coworking and flex-space management API. Query members, companies, bookings, │ │ Description │ resources, billing, and more.
recon
35× fewer tokens for AI coding agents
IT Tools
Provides access to over 70 IT tools and utilities for developers and IT professionals, including encoding, text manipulation, and network tools.
SilverBullet MCP Server
An MCP server that enables LLMs and other clients to interact with your SilverBullet notes and data.
Things 3 Extended
A desktop extension for the Things 3 task manager, providing advanced features like task movement, editing, and backups.
PowerPoint Translator
Translate PowerPoint files using AWS Bedrock. Requires AWS credentials to be configured.
DeepL
Translate text using the DeepL API.
Clanki - Claude's Anki Integration
Enables AI assistants to interact with Anki flashcard decks via the AnkiConnect plugin.
macOS Defaults
Read and write macOS user defaults and settings.