I will a custom mcp server to chat with your data warehous


Informazioni su questo servizio
Stop Writing SQL. Start Chatting With Your Enterprise Data Lakes & Warehouses!
Want to empower your business team or clients to ask complex questions about their data in plain English? I will build a production-grade Business Intelligence (BI) AI Agent powered by an Enterprise Model Context Protocol (MCP) Server.
This system creates a secure, real-time bridge between advanced LLMs (like Claude 3.5 Sonnet) and your central data infrastructureallowing you to query data lakes and warehouses instantly without building complex dashboards or writing a single line of code.
Example Use Cases Your AI Agent Can Handle:
- "Which customer segment generated the highest revenue last quarter?"
- "Show me the monthly trend of active users versus churn rate."
- "Compare this week's sales performance with the same week last year."
️ What This Gig Includes:
- Custom MCP Server Development: Tailored protocol execution to allow secure, live communication between your LLM environment and your data storage.
- Smart Metadata & Schema Mapping: I map your reporting tables so the AI deeply understands table relationships, foreign keys, and precise metric definitions to prevent hallucinations.
- Data Lake & Warehouse Int
Scopri di più su Bharathiraja C
Data Engineer, LLM Engineer
- DaIndia
- Membro dadic 2025
- Tempo di risposta medio1 ora
- Ultima consegna3 mesi
Lingue
Tamil, Inglese
FAQ
What is an MCP Server and why is it better than a standard chatbot?
The Model Context Protocol (MCP) is an open standard that allows LLMs (like Claude) to securely and directly connect to data sources and tools. Unlike a rigid chatbot, an MCP server acts as an intelligent, live bridge, allowing the AI to safely fetch data on demand based on what you ask.
Does the AI model store or see my entire database?
No. The AI agent only receives the schema definitions (table names, column descriptions) to understand how to ask the question. When a query is run, it only looks at the specific result rows needed to answer your question. Your database remains completely secure
