Fibery

🚀 Fibery MCP Server

This MCP (Model Context Protocol) server enables integration between Fibery and any LLM provider supporting the MCP protocol (e.g., Claude Desktop), allowing you to interact with your Fibery workspace using natural language.

✨ Features

• Query Fibery entities using natural language.
• Obtain detailed information about your Fibery database and its fields.
• Create and update Fibery entities through a conversational interface.

📦 Installation

Install via Smithery

To automatically install the Fibery MCP Server for Claude Desktop via Smithery:

npx -y @smithery/cli install @Fibery-inc/fibery-mcp-server --client claude

Install via UV

Prerequisites:

• A Fibery account with an API token.
• Python 3.10 or higher.
• uv

Installation steps:

1. Install the tool using uv:

uv tool install fibery-mcp-server

2. Then add the following configuration to your MCP client configuration file. In Claude Desktop, you can find this file at Settings → Developer → Edit Configuration:

{
    "mcpServers": {
        "fibery-mcp-server": {
            "command": "uv",
            "args": [
                 "tool",
                 "run",
                 "fibery-mcp-server",
                 "--fibery-host",
                 "your-domain.fibery.io",
                 "--fibery-api-token",
                 "your-api-token"
            ]
        }
    }
}

Note: If the "uv" command is unavailable, try using the absolute path (e.g., /Users/username/.local/bin/uv).

For development:

{
    "mcpServers": {
        "arxiv-mcp-server": {
            "command": "uv",
            "args": [
                "--directory",
                "path/to/cloned/fibery-mcp-server",
                "run",
                "fibery-mcp-server",
                "--fibery-host",
                 "your-domain.fibery.io",
                 "--fibery-api-token",
                 "your-api-token"
            ]
        }
    }
}

🚀 Available Tools

1. List Databases (list_databases)

Retrieve a list of all available databases in your Fibery workspace.

2. Describe Database (describe_database)

Provide a detailed breakdown of a specific database structure, showing all fields and their titles, names, and types.

3. Query Database (query_database)

Provide powerful and flexible access to your Fibery data through the Fibery API.

4. Create Entity (create_entity)

Create a new entity in your Fibery workspace with specified field values.

5. Create Entities in Batch (create_entities_batch)

Create multiple new entities in your Fibery workspace in batch with specified field values.

6. Update Entity (update_entity)

Update an existing entity in the Fibery workspace with new field values.