MCP Kibela
mcp-kibela🗒️
模型上下文协议 (MCP) 服务器实现,使 AI 助手能够搜索和引用 Kibela 内容。此设置允许像 Claude 这样的 AI 模型安全地访问存储在 Kibela 中的信息。
特点🚀
mcp-kibela 服务器提供以下功能:
笔记搜索:按关键词搜索 Kibela 笔记
我的笔记:获取您的最新笔记
笔记内容:通过ID获取笔记内容和评论
Note by Path :按路径获取笔记内容
创建笔记:创建新笔记
更新笔记内容:通过笔记id更新笔记内容
Related MCP server: HackMD MCP Server
先决条件📋
在开始之前,请确保您已:
Node.js(v18 或更高版本)
MCP 客户端(Claude Desktop、Cursor 等)
Kibela 访问令牌( 如何获取令牌)
Git(如果从源代码构建)
安装🛠️
与游标一起使用
{
"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"
}
}
}与 VSCode 一起使用
{
"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}"
}
}
}
}
}与 Claude Desktop 一起使用
{
"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"
}
}
}
}使用 Smithery
npx -y @smithery/cli install @kj455/mcp-kibela --client claude环境变量
需要以下环境变量:
KIBELA_TEAM:您的 Kibela 团队名称(必填)。您可以从 Kibela 团队页面的 URL 中找到它。例如:https://[team-name].kibe.laKIBELA_TOKEN:您的 Kibela API 令牌(必需)
贡献
欢迎任何贡献!
发展
使用
npm run build:watch以监视模式构建项目。
npm run build:watch使用
npx @modelcontextprotocol/inspector检查 MCP 服务器。
npx @modelcontextprotocol/inspector node /path/to/mcp-kibela/dist/index.js许可证📄
麻省理工学院
Maintenance
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