This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Summary
AI summaryAdded multi-agent research features including query planning, citation verification, quality evaluation, and LLM-as-judge scoring.
Full changelog
Multi-Agent Research Patterns
This release adds Anthropic-inspired multi-agent features to the run_deep_research tool, enabling more rigorous and transparent research workflows.
New Features
Query Planning (use_planner)
- Decomposes complex queries into focused sub-questions using Claude Opus
- Facet-aware synthesis for comprehensive coverage
Citation Verification (verify_citations)
- Post-research verification of source attribution
- Reports verified, flagged, and unsupported findings
- Overall citation quality score
Quality Evaluation (evaluate_quality)
- Multi-dimensional quality assessment
- Completeness, source diversity, recency, and depth scoring
- Gap detection with follow-up query recommendations
LLM-as-Judge (judge_quality)
- 5-dimensional scoring: factual accuracy, citation accuracy, completeness, source quality, synthesis quality
- Detailed feedback for research improvement
Usage
run_deep_research({
query: "What are the economic impacts of AI on labor markets?",
depth: "deep",
use_planner: true,
verify_citations: true,
evaluate_quality: true,
judge_quality: true
})
Full Changelog
https://github.com/mercurialsolo/counsel-mcp/compare/v0.2.1...v0.2.2
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About mercurialsolo/counsel-mcp
Connect AI agents to the Counsel API for strategic reasoning, multi-perspective debate analysis, and interactive advisory sessions.
Related context
Beta — feedback welcome: [email protected]