gigaxity-deep-research
Reduces time-to-insight for complex technical decisions by synthesizing cited web research directly into development workflows, cutting manual research cycle…
Open-source deep research MCP. Qwen3-30B-A3B-Thinking via OpenRouter, cited web synthesis for Claude Code, Codex, Cursor, Hermes and any MCP-compatible agent.
- Ask Claude to research complex architectural patterns and synthesize findings into code design decisions.
- Generate comprehensive technical documentation by deep-researching implementation approaches across cited sources.
- Find solutions to obscure debugging problems by conducting multi-source research with cited references.
Reduces time-to-insight for complex technical decisions by synthesizing cited web research directly into development workflows, cutting manual research cycles and improving decision confidence with source attribution.
Engineering teams using Claude, Cursor, or MCP-compatible agents needing researched context on architecture, dependency, or technology choices.
https://github.com/yoloshii/gigaxity-deep-research
By yoloshii
How to Get It
claude plugins install yoloshii/gigaxity-deep-research
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Research complex architectural patterns and synthesize findings into code design decisions
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 46 GitHub stars; contributors unknown; last commit 1d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 46 GitHub stars; contributors unknown; last commit 1d ago; license MIT.