A
licenseB
qualityD
maintenanceEnables medical evidence retrieval and analysis via AI-powered search and summarization tools.
14
8 npm
MIT
iamed-mcp
by fabianofilho
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TDQS
A4.4/5.0
Scored across 3 tools
Disambiguation4/5
The three tools map to distinct retrieval modes: browse by recency (listar_recentes), query by theme (buscar), and fetch full detail by id (abrir_item). There is mild overlap since listar_recentes and buscar share the same tipo/especialidade/dias filters and both return item lists, but the recency-vs-term distinction is clearly stated.
Naming Consistency4/5
All names are Portuguese imperative verbs and use snake_case, giving a predictable feel. Minor deviation: listar_recentes and abrir_item follow a verb_noun shape while buscar is a bare verb (its object is implied by the required 'tema' argument), which is a small inconsistency rather than a real problem.
Tool Count4/5
Three tools is on the lean side but well-matched to a read-only discovery surface: list, search, and open. Each earns its place with no redundant tool, though a metadata/browse-by-category tool would round it out.
Completeness4/5
For a curated read-only knowledge base the essential lifecycle is covered: enumerate recent items, search by topic, and retrieve full item detail by id. Minor gaps exist around discovering available tipos/especialidades or related-item exploration, but core agent workflows have no dead ends.
Maintenance
ActivityMaintained
ResponsivenessNo issues