steipete/oracle
Ask the oracle when you're stuck. Invoke GPT-5 Pro with a custom context and files.
What it solves
Oracle is designed for developers and coding agents who need a second-model review of their project. It solves the problem of manually copying and pasting files into an AI model to get a review or audit, by automating the bundling of a prompt and selected project files into a context window.
How it works
Oracle operates as a CLI and an MCP server. It allows users to select files, directories, or globs (with exclusions) to create a a context bundle. This bundle is then sent to an AI model via an API (supporting OpenAI, Azure OpenAI, Anthropic, Gemini, xAI, and OpenRouter) or through a signed-in browser session (using Chrome automation for ChatGPT and Gemini).
Who it’s for
It is built for developers and coding agents that require grounded, project-specific AI reviews and audits.
Highlights
- Flexible Context Control: Supports files, directories, and globs with exclusions to precisely define the context.
- Multiple Engine Modes: Offers API mode for automation, Browser mode for using existing signed-in sessions, and Render mode for local inspection of the prompt bundle.
- Session Management: Stores runs in local sessions, allowing users to reattach to long responses, replay answers, and perform follow-up queries.
- Multi-Model Support: Can run a single prompt across multiple models simultaneously to compare outputs and track costs.
- MCP Integration: Includes an
oracle-mcp stdio server for integration with MCP clients like Claude Code, Codex, and Cursor.
Related
- Project
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