
grainulator
by grainulation·★ 85·Score 47
Multi-pass research tool with claim-based investigation and confidence scoring for Claude Code.
Overview
Grainulator is a sophisticated research tool that performs multi-pass investigations, compiles typed claims, detects tensions between findings, and produces confidence-graded answers. It operates through a two-phase process: investigation (3 research passes) and compilation (7 analysis passes). The tool integrates with Claude Code as a plugin, providing both autonomous research capabilities and slash commands for controlled investigations.
Try asking AI
After installing, here are 5 things you can ask your AI assistant:
When to choose this
Choose Grainulator for research-intensive projects requiring structured evidence gathering, conflict detection, and confidence scoring before making decisions.
When NOT to choose this
Don't choose Grainulator if you need rapid, simple answers or prefer a simpler research process without the complexity of multiple investigation passes and claim tension analysis.
Tools this server exposes
12 tools extracted from the README/initStart a new research sprint
/researchMulti-pass investigation with evidence gathering
/challengeAdversarial testing of a specific claim
/witnessCorroborate a claim against an external source
/blind-spotStructural gap analysis
/briefCompiled decision brief
/presentPresentation deck
/statusSprint dashboard
/pullImport knowledge from DeepWiki or Confluence
/syncPublish artifacts to Confluence
/calibrateScore predictions against actual outcomes
/resolveAdjudicate conflicts between claims
Comparable tools
Installation
Installation
**Step 1** — Add the marketplace (one-time):
claude plugin marketplace add https://github.com/grainulation/grainulator.git**Step 2** — Install:
claude plugin install grainulatorFor Claude Desktop, add to claude_desktop_config.json:
{
"mcpServers": {
"grainulator": {
"command": "npx",
"args": ["-y", "@grainulation/grainulator", "serve-mcp"]
}
}
}FAQ
- What makes Grainulator different from regular chatbots?
- Grainulator performs multi-pass research with typed claims and tension detection, producing confidence-graded answers rather than simple responses. It's a research sprint, not a conversation.
- How does the confidence scoring work?
- The confidence score (0-100) is calculated through 7 analysis passes evaluating evidence strength, type coverage, bias, gap analysis, and conflict detection.
On Hacker News
Recent discussion from the developer community.
- Story by volatilityfund · 2026-04-10
- Story by volatilityfund · 2026-04-09
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Last updated · Auto-generated from public README + GitHub signals.