A
licenseNot graded
qualityD
maintenanceThis MCP server enables AI-assisted professional profile generation by connecting to verified employee work data (skills, career history, certifications, projects) from employer HCM systems.
MIT
Gravatar MCP Server
Officialby Automattic
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TDQS
A3.9/5.0
Scored across 6 tools
Disambiguation4/5
The tools are clearly grouped by resource (profile, interests, avatar) and identifier type (ID vs email), making their purposes distinct. However, the pairs for each resource overlap in outcome—only the lookup method differs—which could cause minor confusion about which to use. The descriptions clearly state the input difference, so ambiguity is limited.
Naming Consistency5/5
All six tools follow a consistent verb_noun_by_identifier pattern: get_profile_by_id, get_profile_by_email, get_inferred_interests_by_id, etc. This uniformity makes the toolset highly predictable and easy to navigate.
Tool Count4/5
Six tools is a reasonable size for a focused Gravatar read-only server. Each resource (profile, interests, avatar) has two lookup variants, covering the main read operations without bloat. The count is neither too thin nor excessive for the API's scope.
Completeness4/5
The server covers the primary read operations for Gravatar profiles: retrieving profile details, inferred interests, and avatars, each via both ID and email. Minor gaps exist, such as no explicit search or listing endpoints, but for a typical read-only Gravatar integration, the surface is sufficient.
Maintenance
ActivityInactive
ResponsivenessUnresponsive