A
licenseNot graded
qualityB
maintenanceA production-ready MCP server that enables AI agents to autonomously create, manage, and engage with LinkedIn content through the official LinkedIn REST API.
124 npm
2
MIT
@isteam/linkedin-mcp
by isteamhq
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TDQS
A3.6/5.0
Scored across 10 tools
Disambiguation5/5
Each tool targets a distinct action (e.g., create vs delete vs get stats) with clear boundaries. No two tools overlap in purpose.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern (e.g., create_post, delete_post, get_comments) with underscores, making them predictable.
Tool Count5/5
10 tools cover the essential LinkedIn post lifecycle (CRUD plus comments, likes, stats) without being excessive or insufficient.
Completeness4/5
Missing an update/edit post tool, and repost/share functionality is absent. However, core operations are well-covered, and the gap is minor.
Maintenance
ActivityMaintained
ResponsivenessNo issues