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Samarth GTM MCP Server

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by samarthanalytics-sj
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TypeScript
Hybrid

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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    B3.1/5.0

    Scored across 181 tools

    Disambiguation4/5

    Most tools follow a clear resource/action pattern and target distinct GTM or GA4 resources, so the intended purpose is usually obvious. However, convenience tools like create_gtm_tracking_tag and create_gtm_variable_typed overlap with tags_create and variables_create, creating some selection ambiguity.

    Naming Consistency3/5

    GTM tools mostly use resource-first naming (tags_list, tags_create), and GA4 reads use a similar ga4_<resource>_list/get pattern. But GA4 writes flip to action-first naming (ga4_create_property, ga4_update_custom_dimension), and a few GTM tools are verb-first (create_gtm_tracking_tag) or inconsistently use workspace singular/plural, producing two readable but inconsistent conventions.

    Tool Count2/5

    181 tools is far beyond the 25+ threshold and creates a very large selection surface for an agent. The breadth may be justified by combining the GTM and GA4 Admin APIs, but it would be better split into smaller, more focused MCP servers or consolidated with more parameterized tools.

    Completeness3/5

    Core GTM workflows (tags, triggers, variables, versions, workspaces) have strong lifecycle coverage, and GA4 has broad CRUD support. However, many GA4 resources have create/update/delete without corresponding list/get operations (e.g. audiences, measurement protocol secrets, event create rules, access bindings), so agents cannot easily discover existing entities before managing them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources