Gigaxity Deep Research — Open-source deep research MCP server for Claude Code, Codex, Cursor, Hermes, and any MCP-capable agent

Open-source deep research MCP server for Claude Code, Hermes, Cursor, and any MCP-compatible agent. Qwen3-30B-A3B-Thinking via OpenRouter plus multi-source web synthesis with citations.

Gigaxity Deep Research is a multi-source synthesis pipeline — seven MCP tools (three primitives search/vertical_search/research plus four deep-research tools ask/discover/synthesize/reason) with a matching FastAPI REST surface, fronting parallel multi-source search, RRF fusion, citation binding, and contradiction detection. The synthesis stage runs against any OpenAI-compatible chat-completions model; the recommended default is Alibaba's Qwen3-30B-A3B-Thinking, a reasoning-tuned 30B-A3B MoE model, but DeepSeek-R1, Qwen-QwQ, Llama 3.x, and hosted-aggregator endpoints (OpenRouter and the like) all work — pick any model your endpoint serves. The search layer pulls from a "Triple Stack" of complementary MCPs (Context7, Exa, Jina) alongside SearXNG, Tavily, LinkUp, Brave, and Parallel connectors. A bundled gptr-mcp companion — the MCP shim around GPT Researcher — adds Reddit, X, and YouTube as social-first sources.

If you want to run the synthesis model on your own hardware, the local-inference branch swaps OpenRouter for any OpenAI-compatible endpoint (vLLM, SGLang, or llama.cpp). The search-MCP layer is priced separately by each provider. See docs/guides/free-tier-strategy.md for what their free tiers cover and how to wire them up.

Python on FastAPI. MIT License. Runs as an MCP stdio server, FastAPI REST API, or both. Drop-in instructions for the full deep research stack live in CLAUDE.md / AGENTS.md (byte-identical) so any MCP-capable harness — Claude Code, Codex, Cursor, Hermes, etc. — or a standalone agent (system-prompt path) can mirror the configuration.

---

What it does

Gigaxity Deep Research wires a multi-source search layer (SearXNG, Tavily, LinkUp, Brave, Parallel) to an RRF fusion stage and a synthesis engine with citation binding, then exposes the whole pipeline as seven MCP tools — three primitives (search, vertical_search, research) plus four deep-research tools (ask, discover, synthesize, reason) — that Claude Code or any MCP-compatible agent can call. The synthesis stage runs against any OpenAI-compatible chat-completions model; the recommended default is Qwen3-30B-A3B-Thinking, a reasoning-tuned MoE model from Alibaba.

So when an agent hits a question outside its training cutoff, it doesn't hallucinate or shell out to a generic search tool. It calls discover to widen the source set, reads the top hits, and calls synthesize to fold the evidence into a citation-backed answer. Round-trip is typically 5–15 seconds against a hosted reasoning model.

Features

Tools (MCP and REST)