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Alternatives to pyxis-mcp

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    Related Servers

    • A
      license
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      quality
      C
      maintenance
      Enables AI agents to query Google Analytics 4 data—traffic, acquisition, top pages, audiences, events, conversions, and realtime metrics—through natural language. Supports local stdio use for a single user and HTTP multi-tenant OAuth for teams.
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      MIT
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      license
      A
      quality
      A
      maintenance
      Enables AI assistants to read identification verdicts, search history, summarize entities, explain risk scores, and verify webhook signatures through read-only tools over stdio or streamable HTTP.
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    • A
      license
      A
      quality
      B
      maintenance
      Connects AI agents to New Relic observability data through the NerdGraph GraphQL API, running locally over stdio with a standard User API key. Enables NRQL queries, entity and alert lookups, log and trace investigation, deployment correlation, and metric comparisons while staying read-only by default.
      14
      Apache 2.0
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to query traces, sessions, exceptions, prompts, datasets, scores, and metrics for enhanced debugging and observability. Supports local stdio or HTTP deployment, selective tool loading, and read-only mode.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and developers to query traces, sessions, exceptions, prompts, datasets, annotation queues, scores, and metrics for local debugging and observability. Runs locally over stdio or HTTP with selective tool-group loading, read-only mode, and compact or file-dump output to control token usage.
      -
    • F
      license
      Not graded
      quality
      C
      maintenance
      Provides AI agents read-only analytical access to a SQLite database over stdio, with tools for listing tables, describing schemas, and running paginated SQL queries.
      -

    TDQS

    A3.8/5.0

    Scored across 16 tools

    Disambiguation4/5

    Most tools target clearly distinct analytics reports: acquisition, devices, engagement, requests, overview, time_of_day, and the funnel family are separable by purpose. The closest overlaps are among funnel, funnel_segments, funnel_subjects, and the property-related tools, but their descriptions make the boundaries readable. No two tools appear to do the same thing.

    Naming Consistency4/5

    Names are consistently snake_case and mostly use descriptive report nouns, which is appropriate for an analytics reporting server. list_projects is the main deviation as a verb_noun discovery tool, but it is still readable and predictable within the set.

    Tool Count4/5

    At 16 tools the server is slightly on the heavy side, but each tool maps to a meaningful analytics report rather than redundant variations. The count is reasonable for a broad web/product analytics surface, though it sits just above the ideal 3-15 range.

    Completeness4/5

    The surface covers discovery, settings, overview, traffic sources, engagement, devices, backend requests, event/property analysis, funnels, visits, and time-of-day reporting. Minor gaps remain around raw event querying or export-style workflows, but core analytics questions can be answered without dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues