DevDb MCP Server

What does “DevDb” MCP Server do?

DevDb MCP Server functions as a bridge between AI assistants and database development workflows within Visual Studio Code. It is designed as a zero-configuration extension for VS Code, simplifying the way developers connect to, query, and manage databases directly from their editor. By exposing core database operations and contextual information through the Model Context Protocol (MCP), DevDb enables AI agents and assistants to perform tasks such as querying databases, exploring schemas, and managing development environments. This integration enhances developer productivity by automating routine database tasks, surfacing relevant data, and streamlining debugging, all without leaving the editor.

List of Prompts

No information about prompt templates was found in the repository or documentation.

List of Resources

No specific MCP resources are detailed in the repository or documentation.

List of Tools

No tools explicitly defined in a server.py or equivalent MCP server implementation could be found in the available repository files.

Use Cases of this MCP Server

• Database management: Quickly connect to and manage multiple databases directly from VS Code, improving workflow efficiency.
• Schema exploration: Browse database schemas to understand table relationships and structures, aiding faster development and debugging.
• Query execution: Run SQL queries and view results instantly within the editor, streamlining testing and data inspection.
• Debugging support: Utilize context-aware affordances to troubleshoot and resolve database-related issues in real-time.
• Development workflow integration: Seamlessly incorporate database operations into broader development processes, reducing context switching.

How to set it up

Windsurf

1. Ensure you have Node.js installed on your system.
2. Open your Windsurf configuration file.
3. Add the DevDb MCP Server using the following JSON snippet:

   {
     "mcpServers": {
       "devdb-mcp": {
         "command": "npx",
         "args": ["@devdb/mcp-server@latest"]
       }
     }
   }
   

4. Save the configuration file and restart Windsurf.
5. Verify that DevDb MCP Server is running by checking the Windsurf server logs.

Claude

1. Prerequisite: Install Node.js.
2. Open the Claude configuration file.
3. Insert the following under the MCP servers section:

   {
     "mcpServers": {
       "devdb-mcp": {
         "command": "npx",
         "args": ["@devdb/mcp-server@latest"]
       }
     }
   }
   

4. Save the configuration and restart Claude.
5. Confirm the server is active via the Claude dashboard.

Cursor

1. Make sure Node.js is installed.
2. Navigate to the Cursor settings or config file.
3. Add DevDb MCP Server configuration:

   {
     "mcpServers": {
       "devdb-mcp": {
         "command": "npx",
         "args": ["@devdb/mcp-server@latest"]
       }
     }
   }
   

4. Save changes and restart Cursor.
5. Check for the MCP server presence in Cursor’s tools menu.

Cline

1. Install Node.js if not already present.
2. Open the Cline configuration file.
3. Configure DevDb MCP Server as shown:

   {
     "mcpServers": {
       "devdb-mcp": {
         "command": "npx",
         "args": ["@devdb/mcp-server@latest"]
       }
     }
   }
   

4. Save the file and restart Cline.
5. Ensure DevDb MCP Server is connected by inspecting Cline’s status output.

Securing API Keys

To securely provide API keys or sensitive credentials, use environment variables. Example configuration:

{
  "mcpServers": {
    "devdb-mcp": {
      "command": "npx",
      "args": ["@devdb/mcp-server@latest"],
      "env": {
        "DATABASE_URL": "${DATABASE_URL}"
      },
      "inputs": {
        "apiKey": "${MY_DEVDB_API_KEY}"
      }
    }
  }
}

Replace ${DATABASE_URL} and ${MY_DEVDB_API_KEY} with your actual environment variable names.

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:

{
  "devdb-mcp": {
    "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 “devdb-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the information available in the repository, DevDb MCP’s documentation and implementation details for MCP-specific features (prompts, tools, resources, sampling, roots) are minimal or absent. The project is well-maintained and popular, but MCP integration documentation is currently lacking.

MCP Score

Rating:
Given the absence of concrete MCP primitives like tools, prompts, and resources in the repository, but noting its popularity and licensing, this MCP setup scores a 3/10 for MCP-specific readiness and documentation. It is a useful project as a VS Code extension, but the explicit MCP server capabilities are not evident in the current repository.