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planvortex-mcp

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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.7/5.0

Scored across 31 tools

Disambiguation4/5

The set is large, and several analytics tools (get_publication_stats, get_top_publications, get_account_metrics, get_dashboard_summary, get_ai_plan_results) share a reporting intent, while get_publication/list_publications/get_publication_stats can blur at a glance. However, the descriptions sharply differentiate their use cases, and most tools target a unique resource+action, so misselection is unlikely for an agent that reads descriptions.

Naming Consistency5/5

Nearly every tool follows a predictable snake_case verb_noun pattern (get_, list_, create_, update_, reply_, hide_, mark_, send_, upload_, create_). There are no mixed naming conventions or cryptic abbreviations; names are consistent and readable throughout.

Tool Count2/5

At 31 tools the server well exceeds the 3–15 well-scoped range and crosses the 25+ 'too many' threshold. The broad domain (publishing, AI plans, comments, DMs, analytics, accounts) justifies some breadth, but the surface is still over-large and risks overwhelming tool selection.

Completeness3/5

Core publication operations are covered (create, list, get, update, retry), but there is no delete or cancel publication operation. The biggest gap is AI plans: templates and results are exposed, yet create_ai_plan is absent, leaving the generation workflow a dead end unless the user changes the environment; media management is also upload-only.

Maintenance

ActivityActive
ResponsivenessNo issues

Resources