Enables Large Language Models to query live Pinterest data through a Model Context Protocol server.
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Connects Large Language Models (LLMs) like Claude Desktop to live Pinterest data by wrapping the CData JDBC Driver for Pinterest. This server transforms Pinterest data into relational SQL models, making it accessible via a simple Model Context Protocol (MCP) interface. It allows LLMs to retrieve real-time information through natural language queries, eliminating the need for SQL knowledge. While this specific project offers a read-only server, full read, write, update, delete, and action capabilities are available in CData's beta MCP Server for Pinterest.
Características Principales
010 GitHub stars
02Connects LLMs to live Pinterest data via a CData JDBC Driver
03Exposes Pinterest data as relational SQL models
04Provides a read-only Model Context Protocol (MCP) interface
05Enables natural language querying of data without SQL
06Supports JSON-RPC 2.0 requests for programmatic interaction
Casos de Uso
01Retrieving live Pinterest information using natural language commands
02Allowing AI clients, such as Claude Desktop, to query Pinterest data
03Scripting programmatic interactions with Pinterest data via JSON-RPC
