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Pytch MCP Server

by vnklv
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Python
Remote

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    TDQS

    A3.7/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: two self-contained audit blocks (domain deliverability, AI brand visibility), a journalist directory search, and two project-scoped read operations. There is no plausible confusion between email deliverability auditing and AI Share of Voice auditing, nor between listing projects and fetching one project's results.

    Naming Consistency5/5

    All five tools follow a clean snake_case verb_noun pattern (check_*, search_*, list_*, get_*), with the verb accurately reflecting the operation's read/analysis semantics. No mixed casing or inconsistent verb styles.

    Tool Count4/5

    Five tools is on the lean side but each maps to a coherent capability rather than being filler, so nothing feels redundant. It is slightly thin for a PR platform surface, since the audit blocks and the project reads are not joined by any action tool.

    Completeness3/5

    The surface covers discovery (search_journalists), monitoring (list_pr_projects, get_project_results) and two standalone audits, but the core PR lifecycle is severed: there is no way to create a project, add/pitch a journalist, or log outreach status. Agents can read state and audit domains but cannot perform the primary action the product implies.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources