LinkIntel
Server Details
Evidence for your AI's next X post: your post metrics, X ranking weights and chosen references.
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- Status
- Unhealthy
- Uptime
- 0.2% over 23 days
- OAuth
- Works in Glama
- Last Tested
- Transport
- Streamable HTTP
- URL
TDQS
Scored across 8 tools
Each tool targets a distinct capability: reference storage, public post discovery, readiness status, owned performance, platform signals, reference listing, brief preparation, and reference removal. The reference-related tools are separated by clear actions (add/list/remove/prepare), and no two tools appear to do the same thing.
All tool names use snake_case and follow a predictable verb_noun or verb_noun_phrase pattern (add_references, find_account_posts, get_data_status, list_references, prepare_content_brief, remove_references). There is no mixing of naming conventions.
Eight tools is well-scoped for a content-intelligence server focused on references, owned performance, platform signals, and brief preparation. Each tool has a clear, non-redundant role.
The set covers the core lifecycle: discovering public posts, adding/listing/removing references, checking data readiness, reading owned performance, reading platform signals, and preparing briefs. Minor gaps exist, such as no update_references for editing stored reference metadata and no LinkedIn reference import despite LinkedIn readiness being reported, but these are workable around.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
8 tool updates
- First observed
add_references - First observed
find_account_posts - First observed
get_data_status - First observed
get_owned_performance - First observed
get_platform_signals - First observed
list_references - First observed
prepare_content_brief - First observed
remove_references
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