A
licenseB
qualityC
maintenanceA local MCP server that gives AI agents structured task planning, execution tracking, and guided research workflows.
16
8 npm
MIT
Research Toolkit
by rrrrrredy
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TDQS
A3.8/5.0
Scored across 8 tools
Disambiguation4/5
Most tools target clearly distinct stages (start, save, review, finish, check_draft, check_reviewer). The one soft boundary is research_status vs research_guide, both of which read stage methods, distinguished only by 'with a task' vs 'without a task' — a subtle but workable split.
Naming Consistency4/5
All tools use a consistent research_ prefix with largely verb-style suffixes (start, save, review, finish, check_draft, check_reviewer). Two are noun-like (status, guide), a minor deviation from the otherwise predictable verb_noun pattern.
Tool Count5/5
Eight tools is well-scoped for a staged research workflow, with each tool mapping to a recognizable step (brief, save, status, guide, review, finish, two local checks). No redundancy or filler.
Completeness4/5
The set covers the full lifecycle — brief creation, object saving, progress reading, guidance, review, delivery/finish, and local validation checks. It lacks any cleanup/deletion or export/teardown operation, but core workflows have no dead ends.
Maintenance
ActivityActive
ResponsivenessResponsive