OpenAI Document Connector

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This project provides a sample server leveraging the Model Context Protocol (MCP) to connect ChatGPT with powerful search and document retrieval functionalities. By utilizing OpenAI's Vector Store, it enables semantic search over documents and allows for fetching their full content, making it an ideal companion for ChatGPT's Deep Research and Chat Connectors features to access external knowledge bases efficiently.

Características Principales

• Semantic Search using OpenAI Vector Store for natural language queries and relevant document snippets
• Document Fetch to retrieve full content including title, text, URL, and metadata by ID
• FastMCP based server ensuring compliance with ChatGPT MCP standards and lightweight SSE communication
• Environment variable based configuration for managing OpenAI API Key and Vector Store ID
• 0 GitHub stars

Casos de Uso

• Integrating external document knowledge bases with ChatGPT for enhanced conversations
• Enhancing ChatGPT's Deep Research capabilities with custom, context-specific data
• Providing custom search and document access tools for ChatGPT Chat Connectors