mcp-server-openmetadata MCP Server: Seamless Integration with OpenMetadata for AI Applications

Overview: What is mcp-server-openmetadata MCP Server?

The mcp-server-openmetadata is a Model Context Protocol (MCP) server implementation designed to facilitate the integration of OpenMetadata with a wide range of AI applications. This server acts as a bridge, leveraging the standardized capabilities defined by the MCP protocol to allow interactions between these modern AI tools and the rich datasets managed by OpenMetadata.

The primary objective of mcp-server-openmetadata is to provide a flexible and scalable interface that enables developers and data engineers to efficiently connect their AI applications with the robust metadata management and governance features offered by OpenMetadata. This integration empowers users to seamlessly access, manage, and transform data in real-time, thereby accelerating the development of intelligent workflows.

🔧 Core Features & MCP Capabilities

The mcp-server-openmetadata supports a broad range of MCP capabilities, which are essential for driving AI workflows effectively. The following features highlight its core functionalities:

Data Assets

• List Databases - /api/v1/databases: Provides comprehensive insights into the available databases hosted by OpenMetadata.
• Get Database: /api/v1/databases/{id}: Retrieves detailed information about a specific database, enabling deeper analysis and monitoring.
• Get Database by Name: /api/v1/databases/name/{fqn}: Fetches metadata of a database using fully qualified name (FQN).
• Export Database: /api/v1/databases/name/{name}/export: Exports the schema structure of a database in a standardized format for external use.

Table Management

• List Tables - /api/v1/tables: Facilitates bulk management and retrieval of table information from OpenMetadata.
• Get Table: /api/v1/tables/{id}: Details on a specific table, aiding in fine-grained data access and manipulation.
• Get Table by Name: /api/v1/tables/name/{fqn}: Retrieves metadata for a named table using the FQN.
• Create Table - /api/v1/tables: Allows users to add new tables to the system via API calls, enhancing dynamic data handling capabilities.

User Authentication

• User Login: /api/v1/users/login: Enables secure user authentication through JSON Web Tokens (JWT).
• User Logout: /api/v1/users/logout: Safely logs out a user session when needed.
• User Signup: /api/v1/users/signup: Facilitates the addition of new users to the system, supporting scalable management.

⚙️ MCP Architecture & Protocol Implementation

The mcp-server-openmetadata follows modern software architecture principles, emphasizing modular design and robust security practices. Here’s an overview of its MCP protocol implementation:

Model Context Protocol (MCP) Flows

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[mcp-server-openmetadata]
    C --> D[OpenMetadata]
    style A fill:#e1f5fe
    style B stroke-width:3px, color:blue
    style C fill:#f3e5f5
    style D fill:#e8f5e8

Data Governance Architecture

graph TD
    T[Data Tools] --> D[OpenMetadata]
    E[MCP Server] --> F[API Gateway]
    F --> G[mcp-server-openmetadata]
    G --> H[OpenMetadata APIs] 
    I[AI Applications] --> J[Elastic Search/Relational DB]

🚀 Getting Started with Installation

To set up and run the mcp-server-openmetadata, follow these detailed steps:

Environment Variables Setup

1. Token Authentication (Recommended)

   OPENMETADATA_HOST=<your-openmetadata-host>
   OPENMETADATA_JWT_TOKEN=<your-jwt-token>
   

2. Basic Authentication

   OPENMETADATA_HOST=<your-openmetadata-host>
   OPENMETADATA_USERNAME=<your-username>
   OPENMETADATA_PASSWORD=<your-password>
   

Integration with MCP Clients

The mcp-server-openmetadata is compatible with several notable AI applications, including Claude Desktop, Continue, and Cursor. Add the server configuration to your local environment or workspace:

Token Authentication Sample

{
  "mcpServers": {
    "mcp-server-openmetadata": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-openmetadata"],
      "env": {
        "OPENMETADATA_HOST": "https://your-openmetadata-host",
        "OPENMETADATA_JWT_TOKEN": "your-jwt-token"
      }
    }
  }
}

Basic Authentication Sample

{
  "mcpServers": {
    "mcp-server-openmetadata": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-openmetadata"],
      "env": {
        "OPENMETADATA_HOST": "https://your-openmetadata-host",
        "OPENMETADATA_USERNAME": "your-username",
        "OPENMETADATA_PASSWORD": "your-password"
      }
    }
  }
}

💡 Key Use Cases in AI Workflows

1. Data Preparation for Machine Learning Models

   • Scenario: A data scientist needs to access and preprocess large datasets prepared by OpenMetadata using an AI application like Claude Desktop.

     import mcp_client
     from openmetadata.client import OMClient
     
     om_client = OMClient(api_key="your-api-key")
     mcp_client.sync_data(om_client)
     

2. Real-Time Monitoring and Analysis

   • Scenario: An analyst uses Cursor to monitor dataset changes in real-time, ensuring up-to-date insights are accessible through OpenMetadata.

     from cursor import Cursor
     
     cursor = Cursor(api_key="your-api-key")
     cursor.subscribe("openmetadata", subscription_function=update_ui)
     

🔌 Integration with MCP Clients

The mcp-server-openmetadata supports seamless integration with the following MCP clients:

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

📊 Performance & Compatibility Matrix

The mcp-server-openmetadata is designed to handle high-performance, real-time data requests from multiple clients simultaneously. The following table outlines its compatibility and performance levels:

Client Capabilities	Supported
User Authentication	✅
Data Asset Discovery	✅
Table Management	✅
Real-Time API Updates	✅
Batch Processing	✅

🛠️ Advanced Configuration & Security

Advanced configuration options allow precise tuning of the server settings to meet specific requirements. These include:

• Port Settings: Customize the port on which the server listens for SSE connections.

  --port=8001
  

• Transport Types: Adjust the transport method (stdio/sse) based on application needs.

❓ Frequently Asked Questions (FAQ)

Q1: How do I authenticate users with mcp-server-openmetadata?

• You can use either JSON Web Tokens (JWT) or basic username/password authentication depending on your preference and security requirements.

Q2: Can I use this server with multiple MCP clients simultaneously?

• Yes, the server is designed to handle requests from multiple clients concurrently, ensuring efficient data management in a multi-client environment.

Q3: How do I monitor and debug issues in real-time?

• The mcp-server-openmetadata includes built-in logging mechanisms. You can enable detailed logs for troubleshooting via environment variables or configuration files.

Q4: What are the system requirements for running this server?

• The server requires a modern machine with at least 4GB RAM and Python 3.6+ installed.

Q5: How do I contribute to improving mcp-server-openmetadata?

• Contributions in the form of bug fixes, feature enhancements, and documentation improvements are warmly welcomed. Please adhere to our contribution guidelines for easy submissions.

👨‍💻 Development & Contribution Guidelines

Contributions from developers are highly valued. If you wish to contribute, follow these steps:

1. Fork the Repository: Go to https://github.com/your-repo-branch and fork it.
2. Clone the Repository:

   git clone https://github.com/your-user-name/mcp-server-openmetadata.git
   

3. Set Up Your Environment:
   • Ensure you have Python installed on your system.
4. Run Tests:
   • Execute pytest to validate your changes against existing tests.

🌐 MCP Ecosystem & Resources

The Model Context Protocol (MCP) represents a pivotal step in unifying the way AI applications interact with data and external tools, creating an open and interoperable environment. Explore more about MCP at:

• MCP Protocol Documentation: Official MCP Docs
• Community Discussions: Join forums and groups dedicated to MCP to share experiences and gain insights.

By leveraging the mcp-server-openmetadata for AI application integration, you can unlock unparalleled data access, manipulation, and governance capabilities. Start your journey towards smarter, more efficient workflows today!