Kibela MCP Server
@kiwamizamurai
关于 Kibela MCP Server
MCP server implementation for Kibela API integration
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"kibela": {
"command": "npx",
"args": [
"-y",
"@kiwamizamurai/mcp-kibela-server"
],
"env": {
"KIBELA_TEAM": "YOUR_TEAM_NAME",
"KIBELA_TOKEN": "YOUR_TOKEN"
}
}
}
}工具
未检测到工具
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。
概览
What is Kibela MCP Server?
An MCP server that integrates with the Kibela API, allowing LLMs to search, read, and manage notes, groups, and folders within a Kibela team workspace. It is designed for developers and teams who use Kibela as a knowledge base and want AI assistants to access that content.
How to use Kibela MCP Server?
Configure via environment variables KIBELA_TEAM and KIBELA_TOKEN, then add the server configuration to your MCP client (e.g., Cursor's ~/.cursor/mcp.json). Run it using npx -y @kiwamizamurai/mcp-kibela-server, a Docker container, or from source after cloning and installing dependencies.
Key features of Kibela MCP Server
- Search notes with advanced filters
- Get your latest notes and recently viewed notes
- Retrieve full note content, comments, and attachments
- Manage groups, folders, and folder contents
- Like and unlike notes
- List users and view note metadata by path or URL
Use cases of Kibela MCP Server
- An AI coding assistant searching Kibela for relevant documentation.
- Automating the retrieval of recently updated notes for a team report.
- Enabling a chatbot to like or bookmark notes for a user.
- Querying notes by URL path to pull content into another tool.
FAQ from Kibela MCP Server
What tools does Kibela MCP Server provide?
It provides over 12 tools including kibela_search_notes, kibela_get_note_content, kibela_like_note, kibela_get_groups, kibela_get_users, and more.
What authentication is required?
It requires a Kibela team name (KIBELA_TEAM) and a Kibela API token (KIBELA_TOKEN) set as environment variables.
How can I run the server?
It can be run via npx (npx -y @kiwamizamurai/mcp-kibela-server), via Docker, or from source by cloning the repository and running the compiled JavaScript.
What transports does the server support?
The README documents a stdio transport (used by default) and notes that for SSE transport the server URL should be set to http://localhost:3000/sse.
Can I use the server with Cursor?
Yes, it includes explicit configuration for Cursor's MCP integration via the ~/.cursor/mcp.json file, using either npx or Docker.
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