Easy connector between Gemini File Store(RAG) and ChatGPT/Codex
View on GitHub ↗A read-only stdio MCP server that lets ChatGPT and Codex search knowledge stored in your Gemini File Search Stores. It connects through OpenAI Secure MCP Tunnel without exposing the server to the public internet.
The source code in this repository is public, while the running MCP server and Gemini credentials remain in your environment. Secure MCP Tunnel is intended for private, developer-mode connections; it is not a mechanism for submitting or distributing a public OpenAI plugin.
- Easy Integration Method Between Private RAG (Gemini File Store) and ChatGPT - Search multiple Gemini File Search Stores in a single request - Withhold Gemini answer text when no File Search citation is present - List document names, indexing states, and update times for each Store - Expose read-only MCP tools with no upload, update, or delete operations - Apply best-effort redaction to API keys and recognizable credentials - Run on Python 3.10 or later with no third-party Python packages
Documents in Stores selected by the user are treated as trusted knowledge sources for answers. Prompts, code, and commands embedded in those documents are treated only as retrieved data, not as instructions to execute.
You do not need to open an inbound port to this MCP server. tunnel-client establishes an outbound HTTPS connection to OpenAI and forwards received MCP requests to the local stdio server.
- Python 3.10 or later - Gemini API key - A Gemini File Search Store containing indexed documents - A tunnelid from OpenAI Platform - An OpenAI runtime API key for tunnel-client - Developer-mode access and T
From the project README.
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