MCP Firebird Use Cases

This document presents practical examples and use cases for MCP Firebird.

Use Cases

1. Data Analysis with LLMs

MCP Firebird allows language models like Claude to analyze data in Firebird databases, generating reports, visualizations, and recommendations based on the data.

2. SQL Query Assistant

Use MCP Firebird with an LLM to generate SQL queries from natural language questions, explain existing queries, or suggest optimizations.

3. Automatic Database Documentation

Generate detailed documentation of the database structure, including table descriptions, relationships, and usage examples.

4. Data Migration and Transformation

Facilitate migration between different Firebird versions or to other database systems by generating transformation scripts.

5. Monitoring and Diagnostics

Analyze database performance, identify bottlenecks, and suggest improvements in indexes or structure.

6. Real-time Workflow Automation (n8n/Make)

Use POST_EVENT subscriptions via MCP to trigger external workflows the millisecond a record is updated or a business rule is violated in the database.

7. Conversational Database Interface

Create a chat interface that allows non-technical users to query and update data through natural language conversations.

Example Scenarios

Example 1: Sales Data Analysis

User: I need to analyze our sales data for the last quarter. Can you help me identify the top-selling products and any trends?

Claude: I'll help you analyze the sales data. Let me first check what tables are available.

[Claude uses MCP Firebird to list tables and examine the schema]

Based on the data, here are the top-selling products for Q3 2023:
1. Product X - 1,245 units (\$125,450)
2. Product Y - 987 units (\$98,700)
3. Product Z - 856 units (\$42,800)

I've noticed a trend where sales of Product X increase by 15% on weekends, while Product Z sells better during weekdays. Would you like me to generate a detailed report with visualizations?

Example 2: Database Schema Optimization

User: Our application is running slowly when querying the ORDERS table. Can you help optimize it?

Claude: I'll help you optimize the ORDERS table. Let me analyze its structure and query performance.

[Claude uses MCP Firebird to examine the table schema, indexes, and query execution plans]

I've identified several issues:
1. The query "SELECT * FROM ORDERS WHERE CUSTOMER_ID = ?" is missing an index on CUSTOMER_ID
2. The ORDER_DATE column is being stored as VARCHAR instead of DATE type
3. There's a JOIN with CUSTOMERS table that could be optimized

Here's my recommendation for creating an index:

CREATE INDEX IDX_ORDERS_CUSTOMER_ID ON ORDERS (CUSTOMER_ID);

Would you like me to suggest more optimizations or help implement this one?

Example 3: Data Migration Planning

User: We need to migrate our Firebird 2.5 database to Firebird 3.0. What should we consider?

Claude: I'll help you plan your migration from Firebird 2.5 to 3.0. Let me analyze your current database structure.

[Claude uses MCP Firebird to examine the database schema and features in use]

Based on your database, here are key considerations for migration:
1. Firebird 3.0 uses a new ODS (On-Disk Structure) version, requiring a backup/restore
2. Your database uses 8 legacy UDFs that need to be replaced with UDRs in Firebird 3.0
3. You have 3 triggers using deprecated syntax that needs updating
4. The new SQL features in FB 3.0 can optimize your complex reporting queries

Here's a step-by-step migration plan including backup commands, syntax updates, and testing procedures...

Integration Examples

Web Application Integration

// Example of integrating MCP Firebird with a web application
const express = require('express');
const { spawn } = require('child_process');
const app = express();

// Start MCP Firebird server
const mcpServer = spawn('npx', [
  '-y',
  'mcp-firebird',
  '--database', '/path/to/database.fdb',
  '--transport-type', 'sse',
  '--sse-port', '3003',
  '--api-key', 'your_secret_key'
]);

// API endpoint that uses MCP Firebird
app.get('/api/sales-report', async (req, res) => {
  // Call Claude API with MCP Firebird connection info
  const claudeResponse = await callClaude({
    prompt: "Generate a sales report for the last month",
    tools: [{
      name: "mcp-firebird",
      url: "http://localhost:3003"
    }]
  });
  
  res.json(claudeResponse);
});

app.listen(3000, () => {
  console.log('Server running on port 3000');
});

Desktop Application Integration

// Example of integrating MCP Firebird with a desktop application
using System;
using System.Diagnostics;

class McpFirebirdIntegration
{
    private Process mcpProcess;
    
    public void StartMcpServer()
    {
        mcpProcess = new Process();
        mcpProcess.StartInfo.FileName = "npx";
        mcpProcess.StartInfo.Arguments = "-y mcp-firebird --database C:\\path\\to\\database.fdb";
        mcpProcess.StartInfo.UseShellExecute = false;
        mcpProcess.Start();
    }
    
    public void StopMcpServer()
    {
        if (!mcpProcess.HasExited)
        {
            mcpProcess.Kill();
        }
    }
    
    public string GenerateReport(string reportType)
    {
        // Call Claude API with MCP connection
        // Process results and return formatted report
        return "Generated report content";
    }
}