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Glama

Server Details

LinkedIn outreach, commenting, scheduling, and data via Claude and human approval gates.

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Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL

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TDQS

C2.2/5.0
Disambiguation2/5

Many tools have overlapping purposes, especially the draft management tools (e.g., approve_draft vs approve_comment_draft, list_drafts vs list_comment_drafts) which create ambiguity. The four LinkedIn connection methods are all distinct but could be confusing. Overall, an agent would struggle to consistently pick the right tool.

Naming Consistency4/5

The naming convention is largely consistent snake_case with verb_noun pattern (e.g., approve_comment_draft, get_linkedin_profile). Minor deviations like cancel_scheduled (verb_adjective) and schedule_manual_dm (longer noun phrase) but no style mixing. Very readable.

Tool Count3/5

42 tools is on the high side for a LinkedIn automation server. While the scope is broad, many tools are redundantly split by draft type (comment, content, general). The count feels heavy but not extreme; a more consolidated design would improve coherence.

Completeness3/5

Core workflows (connection, prospect discovery, outreach, commenting, scheduling, account management) are covered, but there are notable gaps: no ability to manually create a draft, no permanent delete for drafts, no immediate send message (only scheduled), and no sequence management beyond creation. The surface is workable but incomplete.

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