Connects large language models to live Snapchat Ads data, enabling natural language queries without SQL.
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This tool serves as a Model Context Protocol (MCP) server, designed to bridge the gap between large language models (LLMs) like Claude Desktop and live Snapchat Ads data. By wrapping the CData JDBC Driver for Snapchat Ads, it exposes the ad data as relational SQL models. This allows LLMs to query and retrieve information using natural language questions, eliminating the need for users to write SQL queries directly, thereby simplifying data access for analytics and reporting.
Key Features
01Facilitates natural language querying of data, eliminating direct SQL use.
02Translates Snapchat Ads data into relational SQL models.
03Enables large language models (LLMs) to query live data.
040 GitHub stars
05Provides read-only access to Snapchat Ads data via MCP interface.
06Wraps the CData JDBC Driver for Snapchat Ads for robust connectivity.
Use Cases
01Enabling non-technical users to access and understand Snapchat marketing data through conversational AI interfaces.
02Integrating live Snapchat Ads data into AI-powered analytics and reporting workflows.
03Querying Snapchat Ads performance and campaign data using natural language prompts in LLMs.
