What are the prerequisites for using mcp-kibela?
You need Node.js v18 or higher, an MCP client (e.g., Claude Desktop, Cursor), a Kibela Access Token, and optionally Git for building from source.
@kj455
基本情報
MCP server implementation that enables AI assistants to search and reference Kibela content
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
mcp-kibela is a Model Context Protocol (MCP) server that enables AI assistants like Claude to search, reference, and modify content stored in Kibela. It provides a set of tools for interacting with Kibela notes and is intended for users who want to integrate AI with their Kibela knowledge base.
Install via Docker (using ghcr.io/kj455/mcp-kibela:latest) and configure it as an MCP server in a compatible client (Claude Desktop, Cursor, VSCode). Set the required environment variables KIBELA_TEAM (your Kibela team name) and KIBELA_TOKEN (your API token). Alternatively, install using Smithery via npx -y @smithery/cli install @kj455/mcp-kibela --client claude.
You need Node.js v18 or higher, an MCP client (e.g., Claude Desktop, Cursor), a Kibela Access Token, and optionally Git for building from source.
Installation is via Docker using the image `ghcr.io/kj455/mcp-kibela:latest` or through Smithery using the command `npx -y @smithery/cli install @kj455/mcp-kibela --client claude`.
Two environment variables are required: `KIBELA_TEAM` (the team name from your Kibela URL, e.g., `https://[team-name].kibe.la`) and `KIBELA_TOKEN` (your Kibela API token).
Add an entry to the `mcpServers` section of your Claude Desktop configuration with the command `docker`, arguments including `-e KIBELA_TEAM` and `-e KIBELA_TOKEN`, and the image tag `ghcr.io/kj455/mcp-kibela:latest`.
The server provides tools for note search, fetching your latest notes, retrieving note content and comments by ID, fetching note content by path, creating a new note, and updating the content of an existing note.

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