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mercurialsolo/counsel-mcp

v0.2.2 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 4mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Summary

AI summary

Added 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.

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Beta — feedback welcome: [email protected]