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Related Servers

Alternatives to @striderlabs/mcp-lyft

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      MCP server connector for Uber ride-sharing, enabling ride requests, fare estimates, and trip tracking via browser automation.
      12 npm
      1
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      A standalone MCP server that exposes typed LinkedIn capabilities (jobs, people, companies, posts, invitations, messaging) through the visible LinkedIn web UI, enabling workflow automation.
      31
      37 PyPI
      3
      Apache 2.0
    • F
      license
      A
      quality
      C
      maintenance
      MCP server for automating LinkedIn actions such as reading feeds, sending messages, creating posts, and managing connections. Uses browser automation with proxy and stealth support.
      21
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Lets MCP clients control a live Zen/Firefox browser to navigate, click, fill forms, screenshot, and execute JavaScript through a persistent server and browser extension.
      MIT

    TDQS

    A3.6/5.0

    Scored across 11 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, but 'status' and 'get_ride_status' could be confused at first glance. Descriptions clarify that 'status' is about session/login state, while 'get_ride_status' is about a specific ride, so the ambiguity is minimal.

    Naming Consistency3/5

    Tool names mix standalone verbs (login, logout, status) with verb_noun patterns (set_pickup, get_fare_estimate, request_ride). The inconsistency is noticeable but still readable, with clear conventions for core operations.

    Tool Count5/5

    With 11 tools, the server is well-scoped for a Lyft ride-hailing workflow, covering authentication, trip setup, fare estimation, booking, status, cancellation, and history. Each tool serves a clear purpose without unnecessary bloat.

    Completeness4/5

    The core ride lifecycle is well covered: login, set pickup/destination, estimate/options, request, status, cancel, and history. Minor gaps include no explicit ride-type selection in request_ride (only via get_ride_options) and lack of payment management, but these are workable.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues