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Fibery MCP Server: Unify Workflows & Automate Execution - MCP Implementation

Fibery MCP Server: Unify Workflows & Automate Execution

Fibery MCP Server: Unify chaotic workflows, centralize data, and automate project execution—your all-in-one ops backbone for teams drowning in complexity." )

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About Fibery MCP Server

What is Fibery MCP Server: Unify Workflows & Automate Execution?

Fibery MCP Server is a bridge between Fibery workspaces and language models compliant with the Model Context Protocol (MCP). It enables seamless integration with tools like Claude for Desktop, allowing users to interact with Fibery data through conversational commands. This server standardizes workflows by unifying data access and automating repetitive tasks through structured API interactions.

How to Use Fibery MCP Server: Unify Workflows & Automate Execution?

Installation requires three prerequisites: a Fibery API token, Python 3.10+, and the uv tool. Execute uv tool install fibery-mcp-server to set up the environment. Configure the MCP client by adding server details in Settings → Developer → Edit Config, specifying Fibery domain and API token. For developers, override paths using --directory to reference local clones.

Fibery MCP Server Features

Key Features of Fibery MCP Server: Unify Workflows & Automate Execution?

  • Entity Querying: Retrieve specific records by natural language (e.g., "Show all high-priority tasks due this week").
  • Schema Discovery: Automatically map database structures, revealing field types and relationships.
  • Conversational Actions: Create or update records via voice or text commands without manual form filling.

Use Cases of Fibery MCP Server: Unify Workflows & Automate Execution?

Fibery MCP Server FAQ

FAQ from Fibery MCP Server: Unify Workflows & Automate Execution?

  • Q: Does this require coding skills?
    A: No. The conversational interface abstracts API complexity, though advanced users can customize workflows via configuration.
  • Q: What LLM providers are supported?
    A: Any MCP-compliant provider, currently including Anthropic's Claude and future integrations with others.
  • Q: My UV command fails — what should I check?
    A: Verify the absolute path to uv (e.g., /Users/yourname/.local/bin/uv) if the default doesn't work.

Content

Fibery MCP Server

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

✨ Features

  • Query Fibery entities using natural language
  • Get information about your Fibery databases and their fields
  • Create and update Fibery entities through conversational interfaces

📦 Installation

Prerequisites

  • A Fibery account with an API token

  • Python 3.10 or higher

  • uv

    uv tool install fibery-mcp-server

🔌 MCP Integration

Add this configuration to your MCP client config file.

In Claude Desktop, you can access the config in Settings → Developer → Edit Config :

{
    "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 "uv" command does not work, try absolute path (i.e. /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)

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

2. Describe Database (describe_database)

Provides a detailed breakdown of a specific database's structure, showing all fields with their titles, names, and types.

3. Query Database (query_database)

Offers powerful, flexible access to your Fibery data through the Fibery API.

4. Create Entity (create_entity)

Creates new entities in your Fibery workspace with specified field values.

5. Update Entity (update_entity)

Updates existing entities in your Fibery workspace with new field values.

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