What are the requirements to run Kibela MCP Server?
You need Docker installed and running, a Kibela access token, and an MCP client application.
@kibela
Basic information
Kibela's official MCP Server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"kibela": {
"command": "docker",
"args": [
"run",
"-i",
"-e",
"KIBELA_ORIGIN",
"-e",
"KIBELA_ACCESS_TOKEN",
"ghcr.io/kibela/kibela-mcp-server"
],
"env": {
"KIBELA_ORIGIN": "https://your-subdomain.kibe.la",
"KIBELA_ACCESS_TOKEN": "***"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Kibela MCP Server is a Model Context Protocol (MCP) server for Kibela, a collaborative documentation platform. It allows AI assistants to interact with Kibela data via tools and prompts, operating locally over STDIO.
Configure Kibela MCP Server as an MCP client (e.g., Claude Desktop) by setting environment variables KIBELA_ORIGIN and KIBELA_ACCESS_TOKEN. It runs as a Docker container or directly via the provided script. Use the available tools for notes, folders, comments, and other operations.
You need Docker installed and running, a Kibela access token, and an MCP client application.
It is typically run as a Docker container, configured in the MCP client’s settings. A non-Docker method is also available by pointing to the server script.
It currently operates only as a local server using STDIO; no HTTP transport is mentioned.
Yes, you can provide a JSON configuration file to override tool descriptions and prompt templates. Mount the file into the container or place it locally.
All data resides in your Kibela account (cloud-based). The server communicates with Kibela’s GraphQL APIs using your access token.
🚀 The fast, Pythonic way to build MCP servers and clients.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

A free remote MCP server for The Living Bread. Bible passages read word for word from a stored public domain text with an evidence label, keyword search and cross references, real churches, gatherings and prayer groups w
Open-source MCP to use Blender with any LLM
Comments