Fibery MCP Server

Name: Fibery MCP Server
Author: MCP-Mirror

@MCP-Mirror

リポジトリ

Fibery MCP Server について

Mirror of

#fibery #mcp-server #integration

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

MCP-Mirror

設定

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

ツールは検出されませんでした

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。

概要

What is Fibery MCP Server?

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.

How to use Fibery MCP Server?

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.

Key features of Fibery MCP Server

Query Fibery entities using natural language
Get information about Fibery databases and their fields
Create new Fibery entities through conversational interfaces
Update existing Fibery entities through conversational interfaces
Lists all databases in your Fibery workspace

Use cases of Fibery MCP Server

Query your Fibery data conversationally without writing API calls
Explore database schemas and field types in natural language
Create or update Fibery records directly from a chat interface

FAQ from Fibery MCP Server

What are the prerequisites?

You need a Fibery account with an API token, Python 3.10 or higher, and the uv package manager installed.

How do I configure the server?

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.

What operations does the server support?

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.