MCP server for OpenAI's Deep Research APIs, Gemini Deep Research Agent, and Hugging Face's Open Deep Research

Secure Retrieval-Augmented Generation (RAG) with role-based access control using Mastra AI orchestration, with JWT Secure, also Deep Research built with Cedar & Next.js. Gemini, OpenAI, Openrouter, & Gemini CLI usable. Also exposes tools, agents as MCP Server Also A2A Agent Cards

OpenAI Deep Research MCP Server

Simple but more extendable/customized replicate of OpenAI deep research by a chain of deep diving conversations with MCP.

MCP server exposing deep-research API to other agents as MCP.

MCP servers for use with OpenAI's deep research

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OpenAI Deep Research MCP Server

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ExpressIndex 🔍 Privacy-first web research with tiered retrieval modes. Four levels: peek (quick scan), skim (fast answers), analyze (compare viewpoints), research (deep investigation). Features MCP tools, source-cited outputs, and a clean TUI. Powered by SearXNG + OpenAI-compatible LLMs.

A web-based interface for browser automation using AI agents with support for multiple LLM providers including Ollama, OpenAI, Anthropic, and more. Features include browser automation, deep research capabilities, and MCP server integration.

This project is a multi-agent deep research system built on top of the OpenAI Agents SDK and Docker MCP Gateway. It is designed as a professional-grade application that combines web research, long-form synthesis, and email delivery in a single workflow.

This project implements a **production-grade multi-agent AI platform** using **LangGraph**, **FastAPI**, and **OpenAI GPT**, with support for: - Multiple independent agent systems - MCP-based tool servers - Agent-to-Agent (A2A) communication - Deep Research Agent with long-horizon reasoning - Web-based UI - Full CI/CD pipeline with AWS deployment