What are the prerequisites?
You need a Fibery account with an API token, Python 3.10 or higher, and the `uv` package manager installed.
@MCP-Mirror
基本情報
Mirror of
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"Fibery-inc_fibery-mcp-server": {
"command": "uv",
"args": [
"tool",
"install",
"fibery-mcp-server"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
It is an MCP (Model Context Protocol) server that integrates Fibery with any LLM provider supporting the MCP protocol (e.g., Claude for Desktop), allowing you to interact with your Fibery workspace using natural language.
Install it with uv tool install fibery-mcp-server. Add a configuration block to your MCP client config file (e.g., Claude Desktop at Settings → Developer → Edit Config) specifying the --fibery-host and --fibery-api-token arguments. For development, use the --directory flag pointing to the cloned repository.
You need a Fibery account with an API token, Python 3.10 or higher, and the `uv` package manager installed.
Add a JSON block to your MCP client config specifying the command `uv` with arguments `tool run fibery-mcp-server --fibery-host your-domain.fibery.io --fibery-api-token your-api-token`. The server will then be available to your LLM client.
It provides five tools: `list_databases`, `describe_database`, `query_database`, `create_entity`, and `update_entity`. These allow you to list, describe, and query databases, as well as create and update entities.

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