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
相关服务器
Kone.vc
赞助Monetize your AI agent with contextual product recommendations
Odoo
Interact with Odoo ERP systems, allowing AI assistants to access and manage business data like contacts, sales, and projects.
Pantry Persona
AI-powered kitchen management - track pantry inventory, plan meals, manage recipes, build shopping lists
DMARKOFF
The DMARKOFF MCP server gives your AI agents direct access to live DMARC monitoring data. Domain health, authentication results, policy status, security alerts. All available in your AI environment, without switching tools or opening a dashboard.
PDF Tools
A server for manipulating PDF files, including merging, page extraction, and searching.
Calculator
This server enables LLMs to use calculator for precise numerical calculations.
Zotero
Access and manage your Zotero library data via the local or web API.
Todoist
Manage tasks, projects, labels, and comments on Todoist using its API.
secedgar-mcp-server
SEC EDGAR filings and financials
Mailgo Cold Mail Marketing
AI-powered cold email campaign management through Model Context Protocol (MCP).
Decent Sampler Drums
Generates Decent Sampler drum kit configurations.