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
基本信息
Kibela's official MCP Server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"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": "***"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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