Kibela MCP Server

Kibela MCP Server to manage Kibela's content.

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What is the Kibela MCP server?

Kibela MCP Server to manage Kibela's content. That is what the kibela mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

Kibela MCP Server is a Model Context Protocol (MCP) server for Kibela.

Kibela MCP Server is currently available only as a local server using STDIO and can be used with any MCP client such as Claude Desktop or VSCode.

What it needs from you

Configuration is passed through the environment: KIBELA_ORIGIN, KIBELA_ACCESS_TOKEN. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

  1. Docker is installed 2. Docker must be running 3. Kibela access tokens is issued 4. An application that implements the MCP client must be installed

Getting it running

Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.

How it compares

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by chatflowdev; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Kibela's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Things to watch

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How to install the Kibela MCP server

{
  "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": "***"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  1. Docker is installed 2. Docker must be running 3. Kibela access tokens is issued 4. An application that implements the MCP client must be installed
VariableDescriptionRequired
KIBELA_ORIGINConfiguration value read at startup.Optional
KIBELA_ACCESS_TOKENCredential the server authenticates with.Yes

Frequently asked questions

It connects Kibela to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with Kibela directly.