mcp-server-openmetadata Model Context Protocol (MCP) Server

Overview: What is MCP Server?

The mcp-server-openmetadata project is an implementation of the Model Context Protocol (MCP), tailored specifically for integrating with OpenMetadata. This server provides a standardized method to interact with OpenMetadata, enabling seamless communication between AI applications and data sources via the Model Context Protocol.

🔧 Core Features & MCP Capabilities

The mcp-server-openmetadata supports key features of the Model Context Protocol, ensuring that it can be easily integrated into various AI workflows. Below is a comprehensive list of implemented features along with their status:

Implemented Features:

• Data Assets

  • List Databases: ❌
  • Get Database: ❌
  • Get Database by Name: ❌
  • Export Database: ❌
  • Import Database: ❌
  • List Tables: ✅
  • Get Table: ✅
  • Get Table by Name: ✅
  • Create/Update/Delete Table: ✅

• Services

  • List Database Services: ❌
  • Get Service Info: ❌

• Teams & Users

  • Register & Manage Users: ❌
  • User Authentication & Authorization: ❌

• Search

  • Perform Queries, Suggestions & Aggregations: ❌

• Tags & Classifications

  • Tag Management: ❌

• Lineage

  • Entity Relationships & Connections: ❌

• Glossaries

  • Term Definitions & Associations: ❌

MCP Protocol Flow Diagram:

graph TD
    A[AI Application] -->|MCP Client| B[MCP Server]
    B --> C[OpenMetadata Backend]
    style A fill:#e1f5fe
    style C fill:#f3e5f5

⚙️ MCP Architecture & Protocol Implementation

The mcp-server-openmetadata server is architected to be a reliable and performant intermediary between AI applications and OpenMetadata. The protocol implementation ensures compatibility with multiple MCP clients, providing a robust framework for data management and workflow execution.

Compatibility with MCP Clients

MCP Client	Support
Claude Desktop	✅
Continue	✅
Cursor	❌

🚀 Getting Started with Installation

To set up the mcp-server-openmetadata server, you need to configure environment variables and optionally setup authentication methods such as JWT tokens or basic authentication.

Environment Variables

You can authenticate using either token-based or basic-authentication. The recommended method is token-based for security reasons.

Token Authentication (Recommended)

OPENMETADATA_HOST=https://your-openmetadata-host
OPENMETADATA_JWT_TOKEN=your-jwt-token

Basic Authentication

OPENMETADATA_HOST=https://your-openmetadata-host
OPENMETADATA_USERNAME=your-username
OPENMETADATA_PASSWORD=your-password

Usage with Claude Desktop

Add the necessary configuration to your claude_desktop_config.json file:

Token Authentication (Recommended)

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

Basic Authentication

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

Manual Execution

To run the server manually, use:

python src/server.py --port=8000 --transport=stdio

💡 Key Use Cases in AI Workflows

The mcp-server-openmetadata provides critical capabilities for enhancing AI workflows. Below are two real-world scenarios illustrating how this server can be used:

Data Asset Management

AI applications need to access and manage data assets efficiently. The mcp-server-openmetadata allows seamless interaction with OpenMetadata's database and table management features, offering streamlined data handling within AI pipelines.

Security & Access Control

Implementing robust security measures is crucial when working with sensitive data. Using the server’s built-in user authentication and authorization systems ensures that only authorized personnel can access critical information, thereby enhancing overall system security.

Implementing an AI Workflow

Suppose a healthcare organization wants to build an AI model for predicting patient outcomes based on historical medical records. By integrating the mcp-server-openmetadata, they can leverage existing data assets and manage them through a standardized protocol like Model Context Protocol (MCP), ensuring smooth collaboration between different departments.

🔌 Integration with MCP Clients

The mcp-server-openmetadata is designed to seamlessly integrate with various MCP clients, enhancing their functionality. Below are some practical examples:

Integrate with Claude Desktop

1. Set Up Environment: Configure the environment variables as detailed above.
2. Register Server: Follow the steps in your claude_desktop_config.json.
3. Test Connection: Verify connectivity and functionality through the MCP Client interface.

📊 Performance & Compatibility Matrix

The following table outlines the compatibility matrix for various MCP clients:

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

🛠️ Advanced Configuration & Security

Advanced configuration and security are critical aspects of deploying the mcp-server-openmetadata. Below are some tips for securing your setup:

Secure Communication

Ensure that all data transmitted between the MCP client, server, and OpenMetadata backend is encrypted to protect sensitive information.

Monitoring and Logging

Implement comprehensive monitoring and logging mechanisms to track server performance and security incidents. This helps in maintaining system reliability and addressing issues promptly.

❓ Frequently Asked Questions (FAQ)

1. Q: How do I enable basic authentication for the MCP Client?
   A: You need to set up environment variables with your OpenMetadata host URL, username, and password.

2. Q: Can I integrate multiple APIs using this server? A: Yes, if supported by OpenMetadata, you can extend the functionality of mcp-server-openmetadata to handle multiple APIs.

3. Q: How does the server ensure data privacy during transmission? A: The server supports secure communication protocols such as HTTPS to encrypt all data transmitted between components.

4. Q: Is there a limit to the number of MCP Clients that can be connected simultaneously?
   A: There are no predefined limits, but performance might degrade with an increasing number of concurrent connections.

5. Q: How do I troubleshoot common issues related to server setup and configuration? A: Review system logs for error messages and check environment variable settings. Refer to the official documentation for troubleshooting guides.

👨‍💻 Development & Contribution Guidelines

Contributions are welcome! If you wish to contribute, please follow these steps:

1. Fork the Repository: Click on the "Fork" button and clone your forked repository.
2. Create a Branch: Create a new branch for your feature or bug fix.
3. Commit Changes: Make necessary changes and commit them with clear messages.
4. Submit Pull Request: Push changes to your fork and submit a pull request.

🌐 MCP Ecosystem & Resources

For more information on the Model Context Protocol (MCP) ecosystem, refer to the official documentation and community resources:

• ModelContextProtocol.org
• OpenMetadata Documentation

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By leveraging the mcp-server-openmetadata, developers can build efficient AI applications that seamlessly leverage OpenMetadata’s capabilities. The server is well-suited for enhancing data management, security, and interoperability across various AI workflows.