CockroachDB MCP Server: Enhancing AI Application Connectivity and Flexibility

Overview: What is CockroachDB MCP Server?

CockroachDB MCP Server is an advanced, robust MCP (Model Context Protocol) server tailored for direct interaction with CockroachDB databases through the Cursor platform. By implementing the Model Context Protocol (MCP), this server bridges the gap between various AI applications and specific data sources, ensuring seamless integration and efficient data operations.

🔧 Core Features & MCP Capabilities

CockroachDB MCP Server is equipped with a wide array of features designed to enhance the performance and flexibility of AI application workflows. Key capabilities include:

• Real-time Database Interaction: Directly connect to CockroachDB databases using a standardized protocol, allowing real-time data manipulation and retrieval.
• Comprehensive Query Execution: Support for executing SQL queries, fetching table structures, and managing database connections with precision.
• Stability and Reliability: An automatic reconnection mechanism ensures consistent connection stability, while a TCP keep-alive prevents disconnections due to inactivity.
• Detailed Logging & Graceful Exit Handling: Robust logging mechanisms for troubleshooting and user-friendly exit handling procedures.

⚙️ MCP Architecture & Protocol Implementation

CockroachDB MCP Server adheres closely to the Model Context Protocol (MCP) specification, providing a well-defined structure and operational standards. The server's architecture leverages modern Python technologies such as psycopg2 and uv, ensuring efficient execution of complex SQL queries.

Protocol Flow Diagram

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

Data Architecture Diagram

graph TD;
    A[MCP Client] --> B[]{"API Request -> MCP Protocol"};
    B --> C[MCP Server];
    C --> D[Database/External Tool];
    D --> E[Data Response];
    E --> F[]{"MCP Protocol -> API Response"};
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

🚀 Getting Started with Installation

Installing CockroachDB MCP Server via Smithery

To install the CockroachDB MCP Server for your AI application, such as Claude Desktop, follow these steps:

1. Set Up Smithery CLI:

   npx -y @smithery/cli install @Swayingleaves/cockroachdb-mcp-server --client claude
   

2. Clone the Repository and Enter Project Directory:

   git clone https://github.com/Swayingleaves/cockroachdb-mcp-server.git
   cd cockroachdb-mcp-server
   

3. Install Required Dependencies:

   pip install -r requirements.txt
   curl -LsSf https://astral.sh/uv/install.sh | sh
   

💡 Key Use Cases in AI Workflows

Use Case 1: Real-time Data Retrieval for Decision Support

By integrating CockroachDB MCP Server with an AI application, real-time data retrieval becomes a seamless process. For instance, an e-commerce platform can leverage this server to fetch up-to-date product inventories or customer purchase histories directly from the database.

# Example Python code snippet for fetching tables
def get_tables():
    with connect_database() as conn:
        cursor = conn.cursor()
        cursor.execute("SELECT table_name FROM information_schema.tables")
        return cursor.fetchall()

Use Case 2: Automated Data Analytics and Insights

Automating data analytics tasks is crucial in today’s fast-paced business environment. With the CockroachDB MCP Server, an AI application can perform automated queries to generate meaningful insights from large datasets stored in CockroachDB.

🔌 Integration with MCP Clients

CockroachDB MCP Server supports compatibility with a variety of MCP clients, including:

• Claude Desktop: ✅
• Continue: ✅
• Cursor: ❌ (Tools Only)

Note that while Cursor currently does not fully support MCP servers, users can still utilize the server for tools and resources.

📊 Performance & Compatibility Matrix

The compatibility matrix below highlights supported features across different AI applications:

MCP Client	Resources	Tools	Prompts
Claude Desktop	✅	✅	✅
Continue	✅	✅	✅
Cursor	❌	✅	❌

These features ensure a smooth and reliable integration process, catering to a wide range of AI workflow requirements.

🛠️ Advanced Configuration & Security

Configuration Sample

{
  "mcpServers": {
    "cockroachdb-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/your/directory",
        "run",
        "server.py"
      ],
      "jdbc_url": "jdbc:postgresql://localhost:26257/defaultdb",
      "username": "root",
      "password": "root"
    }
  }
}

Security Considerations

• Authentication: Utilize environment variables (e.g., API_KEY) to secure sensitive information.
• Logging: The server logs are stored in logs/cockroachdb_mcp.log and feature automatic rotation for maintaining optimal disk usage.

❓ Frequently Asked Questions (FAQ)

1. Is the CockroachDB MCP Server compatible with other MCP clients?

   • Yes, it supports Claude Desktop and Continue fully while offering partial support or tools-only capabilities to Cursor.

2. How does the auto-reconnection mechanism work in the server?

   • The server automatically reconnects up to five times if a connection is lost due to issues such as network errors or server downtime.

3. Can special characters in database credentials be handled by the CockroachDB MCP Server?

   • Yes, the server uses psycopg2 for connections, which handles special characters without requiring additional URL encoding.

4. What are the TCP keep-alive settings configured on the server?

   • The server is set to enable TCP keepalive after 30 seconds of idle time and send a keepalive every 10 seconds until up to five retries have been attempted before giving up on maintaining the connection.

5. How can I troubleshoot issues with CockroachDB MCP Server logs?

   • Check logs/cockroachdb_mcp.log for detailed logs and error messages that help in identifying and addressing issues related to the server's operational status.

👨‍💻 Development & Contribution Guidelines

Contributions are welcome! Developers interested in improving or expanding the CockroachDB MCP Server can follow these guidelines:

• Source Code Repository: https://github.com/Swayingleaves/cockroachdb-mcp-server
• Issue Tracking: Report bugs and suggest features using GitHub issues.
• Pull Requests: Submit pull requests for code improvements, documentation enhancements, or bug fixes.

🌐 MCP Ecosystem & Resources

For more information on the Model Context Protocol (MCP) ecosystem and related resources:

• Model Context Protocol Documentation: https://modelcontextprotocol.org/
• Community Forums: Join discussions at https://community.modelcontextprotocol.org/

By leveraging this CockroachDB MCP Server, AI application developers can enhance their workflows, ensuring efficient data access and robust integrations.