Fibery MCP Server Integration

What does “Fibery” MCP Server do?

The Fibery MCP (Model Context Protocol) Server is a bridge between your Fibery workspace and AI assistants that support the MCP protocol. It enables seamless interaction with your Fibery databases and entities using natural language commands. By connecting AI clients to Fibery through the MCP standard, it allows users to query workspace data, retrieve metadata about databases and fields, and create or update entities. This integration streamlines development workflows, making it easier for developers and teams to automate knowledge management, manage structured data, and build intelligent workflows involving the Fibery platform.

List of Prompts

No explicit prompt templates are mentioned in the available documentation or repository files.

List of Resources

No explicit list of resources (as defined by MCP) is present in the available documentation or repository files.

List of Tools

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

• describe_database
  Provides a detailed breakdown of a specific database’s structure, including all fields with their titles, names, and types.

• query_database
  Offers powerful and flexible access to your Fibery data through the Fibery API.

• create_entity
  Allows the creation of new entities within a specified Fibery database.

Use Cases of this MCP Server

• Database Exploration and Documentation
  Developers can quickly retrieve information about all databases and their structures within a Fibery workspace, aiding onboarding and documentation efforts.

• Data Query and Reporting
  Use natural language to fetch, filter, and analyze data stored in Fibery, streamlining reporting tasks and facilitating data-driven decisions.

• Automated Entity Creation
  Easily create new entities (records) in Fibery databases from AI-driven workflows, reducing manual data entry and operational overhead.

• Workspace Management via AI Assistants
  Integrate with AI clients (like Claude Desktop) to manage and update workspace content conversationally, improving productivity.

How to set it up

Windsurf

No Windsurf-specific instructions provided in the documentation.

Claude

1. Prerequisites: Ensure you have a Fibery account with an API token, Python 3.10+, and uv installed.
2. Install the tool:

   uv tool install fibery-mcp-server
   

3. Edit configuration: In Claude Desktop, go to Settings → Developer → Edit Config.
4. Add server 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"
         ]
       }
     }
   }
   

5. Save and restart the client to activate the integration.

Securing API Keys:
Store sensitive keys using environment variables.
Example:

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

Cursor

No Cursor-specific instructions provided.

Cline

No Cline-specific instructions provided.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "fibery-mcp-server": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “fibery-mcp-server” to the actual name of your MCP server and replace the URL with your MCP server URL.

Overview

Supports Roots: ⛔ (Not mentioned)
Supports Sampling: ⛔ (Not mentioned)

Based on the available documentation and features, the Fibery MCP Server provides essential database and entity management tools for Fibery, but lacks explicit prompt templates, resource definitions, and advanced MCP features such as roots and sampling. Overall, it is a solid integration for core use cases but does not offer the full breadth of MCP functionality.

Rating: 6/10

MCP Score