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
Mac Apps Launcher MCP Server
Launch and manage macOS applications. List installed apps, launch them by name, or open files with specific apps.
early-mcp
Complete MCP server for Early (Timeular) time tracking - 46 tools for tracking, entries, activities, folders, tags, reports. Created with Claude
Backcast MCP Server
The Outcome Backcasting MCP is a strategic planning tool that helps you work backwards from a desired future outcome to identify the specific steps, resources, and dependencies needed to achieve your goals. Unlike traditional forward planning, backcasting starts with your end goal and creates a reverse roadmap to get there.
WeRead
Access your WeChat Reading (微信读书) bookshelf, notes, highlights, and reviews.
RegGuard
AI-powered regulatory compliance checking for financial marketing content across multiple jurisdictions.
Coda
Interact with the Coda API to manage documents and pages, including creating, reading, updating, and deleting.
Nuclei Server
A simple notes system with resources, tools, and prompts.
Google Docs
An MCP server for integrating with and managing Google Docs.
HWP-MCP (한글 Model Context Protocol)
Control the Korean word processor HWP with AI for automated document creation, editing, and manipulation.
JIRA
Integrate with JIRA to allow AI assistants to directly interact with JIRA issues.