Gigaxity Deep Research
An open-source deep-research MCP server that fuses results from several search sources into a cited synthesis, for Claude Code, Codex, Cursor and other Model Context Protocol agents.
Gigaxity Deep Research is a multi-source research pipeline exposed as six MCP tools, two basic search and research primitives plus four higher-level tools for asking, discovering, synthesizing and reasoning over the results, alongside a matching FastAPI REST interface. It searches in parallel across SearXNG, Tavily and LinkUp, plus a companion MCP shim around GPT Researcher that adds Reddit, X and YouTube as sources, fuses the results with reciprocal rank fusion, binds citations to the synthesized answer, and checks for contradictions between sources.
The synthesis step can run against any OpenAI-compatible chat model, with a reasoning-tuned open-weight model recommended by default, or it can run on the user's own hardware instead of a hosted API. It is written in Python on FastAPI, runs as an MCP stdio server, a REST API, or both, and documents a free-tier strategy for keeping the search layer's cost down.