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
Máy chủ liên quan
Kone.vc
nhà tài trợMonetize your AI agent with contextual product recommendations
SudoMock
Product mockup rendering API. Upload PSD templates, render photorealistic mockups with 9 MCP tools including AI render.
mindpad
Save encrypted notes to your mindpad account
Inkdrop
Interact with the local Inkdrop note-taking app database via its HTTP API.
incident.io
Interact with the incident.io API to manage incidents and workflows.
Kiwi Travel MCP
Search Flights Without Leaving Your AI Chat
cwprep
ai generate tableau prep file
TaskWarrior MCP Server
An MCP server for managing tasks with the command-line tool TaskWarrior.
Unified MCP Suite
A collection of MCP servers for media tools, information retrieval, PDF creation, and presentation generation.
Limitless MCP
Connect your Limitless Pendant data to Claude and other LLMs using the Limitless API.
TanukiMCP
Automate and manage WordPress sites using browser automation and API integration.