Vibe Querying with MCP

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Welcome to our limited content series covering useful prompts, tips, and future CData MCP Server releases to make vibe querying the way you get your work questions answered.


What is the Model Context Protocol?

Model Context Protocol (MCP) is a standard protocol designed to connect AI models to external data sources securely and efficiently. MCP enables AI to access real-time business data, tools, and workflows, allowing users to interact naturally with their data using conversational AI.

What are CData MCP Servers?

CData MCP Servers are the Model Context Protocol (MCP) combined with CData's Connector Library of 350+ sources. It finally gives AI models access to the business data needed to make them really useful at work.

What is Vibe Querying?

Vibe querying (like Vibe Coding) is a way to use natural language instructions to an AI to explore your data. What used to take intimate knowledge of your data schema, prebuilt data pipelines, and familiarity with SQL or similar query languages can now be done with CData MCP Servers and your favorite LLM.

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Get the prompts to Vibe Query with ease

We've catalogued the prompts from every Vibe Querying episode in our Prompt Library. Learn exactly how to execute data analysis by functional use case and make the most our of CData MCP Servers.


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Episodes


Episode 1
Episode 1 Uncovering insights from sales and marketing data
Episode 2
Episode 2 Explore an analysis of support case data for building a product roadmap
Episode 4
Episode 3 Turn real-time sales data into actionable opportunities
Episode 4
Episode 4 Investigate product usage and persona data to uncover insights for a product-led-growth strategy
Episode 5
Episode 5 Analyzing Google AdWords to uncover hidden insights and optimize Search Engine Marketing