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Deep Research
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
mcp CodexGeneric
01
At a glance.
A compact read before the deeper capability notes and official setup links.
02
Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
Lightning-Fast Deep Research Report
Deep Research uses a variety of powerful AI models to generate in-depth research reports in just a few minutes.
It leverages advanced "Thinking" and "Task" models, combined with an internet connection, to provide fast and insightful analysis on a variety of topics.
Rapid Deep Research: Generates comprehensive research reports in about 2 minutes, significantly accelerating your research process.
Privacy-Focused: Your data remains private and secure, as all data is stored locally on your browser.
Support for Multi-LLM: Supports a variety of mainstream large language models, including Gemini, OpenAI, Anthropic, Deepseek, Grok, Mistral, Azure OpenAI, any OpenAI Compatible LLMs, OpenRouter, Ollama, etc.
Support Web Search: Supports search engines such as Searxng, Tavily, Firecrawl, Exa, Bocha, Brave, etc., allowing LLMs that do not support search to use the web search function more conveniently.
Support switching research models.
04
Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
05
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
06
Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2026-04-22T08:03:13Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.
Trusted source