TL;DR: A marketing team needed self-service data insights but couldn’t write sql queries and IT wouldn’t give direct database access. A developer used Raindrop MCP with SmartSQL to deploy a secure, read-only mcp server deployment in 10 minutes, giving marketing instant access to campaign analytics through natural language queries and text to sql conversion.
Your marketing team runs campaigns across email, social media, and paid ads. They track everything in a central database: campaign performance, customer attribution, conversion funnels, and revenue data. But there’s a problem with data access.
The marketing team wants to ask questions like “Which email campaigns drove the highest LTV customers last quarter?” or “Show me conversion rates by traffic source for our recent product launch.” They can’t write sql queries or understand natural language to sql conversion, and IT won’t give them direct database access due to security policies.
Currently, every data request goes through a ticket system. Marketing submits requests, waits 1-2 weeks for IT to write custom reports, then discovers they need different data cuts. The cycle repeats. Marketing can’t make fast decisions, and developers spend time writing one-off sql queries instead of building features.
The developer receives the request: “Give marketing a way to get answers to their data questions without waiting for IT tickets.” This seems simple but requires building multiple complex systems:
Database Infrastructure: Set up secure, read-only database access with proper connection pooling and timeout handling.
Natural Language to SQL: Build text to sql conversion and sql query generation that understands marketing terminology like “LTV,” “attribution,” “funnel conversion rates.”
Security Layer: Implement read-only access controls, query sanitization, sql execution monitoring, and audit logging for compliance.
Query Optimization: Handle business logic like date ranges, customer segmentation, and campaign attribution models.
User Interface: Create a simple way for non technical users to ask natural language questions and get data insights.
Most developers spend 2-3 months building custom data access infrastructure, sql generation systems, and natural language processing before marketing gets their first self-service query. Meanwhile, the ticket queue keeps growing with urgent “quick data pulls” that interrupt feature development.
The developer used Raindrop MCP to solve this in a single conversation with Claude Code:
Build me an MCP server with SmartSQL for marketing campaign analytics with these requirements:
30 minutes later, the developer had a deployed MCP server with:
The developer told Claude Code exactly what marketing needed:
Build me an MCP server with SmartSQL for marketing campaign analytics:
- Read-only access to campaign_data and customer_metrics tables
- Natural language to SQL and text to sql for user queries like "top performing campaigns"
- Simple interface that non-technical users can access through Claude
- Block all DELETE, UPDATE, INSERT operations
- Audit all queries for compliance
- Handle terms like LTV, CAC, attribution, conversion funnel with sql syntax understanding
Raindrop MCP created this SmartSQL server automatically:
// Generated MCP server for marketing analytics
export default (server: McpServer, env: Env, state: ActorState) => {
server.registerTool("query_campaigns", {
title: "Marketing Campaign Analytics",
description: "Query databases and analyze data using natural language queries with sql generation - read-only access",
inputSchema: {
type: "object",
properties: {
question: { type: "string", description: "Marketing question in natural language input for sql generation" },
format: { type: "string", enum: ["json", "csv"], description: "Response format" }
}
}
}, async (input) => {
// SmartSQL converts user queries and natural language to generated sql query
const result = await env.MARKETING_DATABASE.executeQuery({
textQuery: input.question,
format: input.format || 'json'
});
// Log database queries for audit trail
env.logger.info("Marketing query executed", {
question: input.question,
timestamp: new Date().toISOString()
});
return { content: [{ type: "text", text: JSON.stringify(result) }] };
});
server.registerTool("get_schema", {
title: "View Available Data",
description: "Show what campaign and customer data is available to query",
inputSchema: {}
}, async () => {
const metadata = await env.MARKETING_DATABASE.getMetadata();
return { content: [{ type: "text", text: JSON.stringify(metadata, null, 2) }] };
});
};
After 8 minutes of building and deployment:
🎉 Your Marketing Analytics MCP Server is Ready!
Your MCP server marketing-analytics is successfully deployed at:
MCP Endpoint: https://mcp-01k2mkt1ng5q1.lmapp.run/mcp/
Marketing Team Access:
claude mcp add --transport http marketing-analytics https://mcp-01k2mkt1ng5q1.lmapp.run/mcp/
The developer shares the MCP server endpoint with marketing. Each team member adds it to their Claude Desktop configuration file:
{
"mcpServers": {
"marketing-analytics": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everything"],
"env": {
"MCP_SERVER_URL": "https://mcp-01k2mkt1ng5q1.lmapp.run/mcp/"
}
}
}
}
Marketing team members add this configuration to their Claude Desktop settings, then use the desktop app to ask business questions and generate sql queries. No database credentials, SQL knowledge, or complex technical setup required.
Developer Time Saved: 10 minutes vs 2-3 months building custom data access infrastructure Marketing Self-Service: Instant access to campaign insights through natural language queries and sql queries
Security Maintained: Read-only access with complete audit logging for IT
compliance Business Impact: Marketing makes data-driven decisions in
minutes, not weeks Developer Focus: No more interruptions for “quick data
pulls” - back to building features
Marketing team can now ask Claude business questions directly using natural language:
All user queries and natural language questions are automatically converted to generated sql queries by SmartSQL’s text to sql processing using large language models, executed with read-only permissions, and logged for audit compliance ensuring data quality. Marketing gets instant insights, developers stay focused on product development.
Sales Team Data Access: Sales teams need customer health scores, pipeline analytics, and account insights through complex queries but face the same SQL barrier and IT bottleneck.
Support Team Analytics: Customer success teams need to query support ticket data, customer satisfaction metrics, and churn indicators for proactive customer management.
Both scenarios benefit from the same pattern: developer deploys SmartSQL MCP server in minutes, non-technical users get self-service database queries and sql query generation through Claude.
Want to give your non-technical teams self-service data access through Claude using large language models with fine tuning for data quality?
npm install -g @liquidmetal-ai/raindrop-cliThe MCP server will be deployed with SmartSQL for natural language querying, text to sql conversion, sql query generation with retrieval augmented generation, read-only security controls, audit logging, and a simple endpoint your team can use through Claude.