The MCP Kibela server enables AI assistants to interact with Kibela content through various operations:
Search Kibela notes: Search for notes using keywords or queries
Fetch personal notes: Retrieve your latest notes, with optional limits
Get note content: Access content and comments of a specific note by ID or path
Create new notes: Create notes with options for title, content, folders, author, groups, and co-editing
Update note content: Modify existing notes by ID
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Kibela search for notes about quarterly planning"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
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
Related MCP server: HackMD MCP Server
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)
{
"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"
}
}
}{
"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}"
}
}
}
}
}{
"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"
}
}
}
}npx -y @smithery/cli install @kj455/mcp-kibela --client claudeThe 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)
Any contributions are welcome!
Use npm run build:watch to build the project in watch mode.
npm run build:watchUse npx @modelcontextprotocol/inspector to inspect the MCP server.
npx @modelcontextprotocol/inspector node /path/to/mcp-kibela/dist/index.jsMIT
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
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Search your AI chat history (ChatGPT, Claude, Codex) from any MCP client. Remote, private, read-only
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