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US state DMV data: vehicle and EV registrations, office locators, live wait times

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Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
pipeworx-io/mcp-us-dmv
GitHub Stars
0
Server Listing
@pipeworx/us-dmv

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool update
    • Changeddeep_research1 field changed
      • changedInput schema / properties / depth / description
        Previous value: -"How many facets to research in parallel: quick=3 (single hop), standard=5 (default; adds a gap-recovery hop that re-angles unanswered facets + a contradictions[] scan across findings), thorough=8 (paid; adds a full iterative hop that chases leads + recovers gaps, plus the contradictions[] scan)."New value: +"How many facets to research in parallel: quick=3 (single hop), standard=3 (default; adds a gap-recovery hop that re-angles unanswered facets + a contradictions[] scan across findings), thorough=6 (paid; adds a full iterative hop that chases leads + recovers gaps, plus the contradictions[] scan)."

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TDQS

A3.7/5.0
Disambiguation3/5

The set splits into recognizable families — data lookup, entity research, prediction markets, memory, subscriptions — so many tools are fairly easy to separate. The main risks are in the query layer: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are highly similar (beta is explicitly identical when no beta candidate is active), and discover_tools/suggest_questions also overlap in purpose. An agent could select the wrong query tool without careful reading.

Naming Consistency3/5

Most tool names use a readable, descriptive snake_case style: validate_claim, list_subscriptions, resolve_entity, unsubscribe. The pattern is inconsistent, though, because the set mixes verb-first names with noun-style names (entity_profile, recent_changes, polymarket_edges), one-word memory names (remember, recall, forget), and branded prefixes (ask_pipeworx, pipeworx_trending, polymarket_arbitrage). It is readable but not a single coherent naming system.

Tool Count2/5

31 tools is substantially over the comfortable 3–15 range and feels more like multiple servers bundled together: general data querying, Polymarket edge analysis, AI visibility checks, npm dependency checks, memory, feedback, and subscriptions. Several of these families are self-sufficient, so the overall roster is heavy and unfocused.

Completeness1/5

Relative to the stated server purpose, the surface is effectively unrelated: there are no tools for driver registration, license lookups/renesal, vehicle title or registration, DMV appointments, driving records, or state DMV status checks. While the Pipeworx/Polymarket functionality has broader research coverage, an agent trying to use this as a US State DMV server would hit a dead end on every realistic task.