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insaight

by spirosbax
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.3/5.0

    Scored across 18 tools

    Disambiguation4/5

    Each major workflow—accounts, posts, people, comments, outreach, and memory—has mostly distinct tools with clear descriptions. The main risk is scrape_profile versus scrape_person_profile, since both mention profiles, and get_stats versus get_outreach_stats could cause momentary confusion, though their descriptions disambiguate them well.

    Naming Consistency4/5

    Tool names follow a consistent snake_case verb_noun pattern with list_* for reading stored data, scrape_* for fetching fresh data, and get_* for direct retrieval. The pair scrape_profile/scrape_person_profile is slightly confusing because 'profile' is used to mean both a LinkedIn account's posts and an individual person's full profile, but overall the naming is predictable.

    Tool Count4/5

    Eighteen tools is on the heavier side, but the server genuinely covers multiple related domains: LinkedIn post scraping, people research, comment scraping, outreach tracking, memory, and configuration. Each tool has a distinct job, so the count feels reasonable for the stated scope rather than padded.

    Completeness4/5

    The core lifecycle is well covered: discover accounts, scrape and read posts, search content, scrape people and comments, log outreach, record outcomes, and update memory. Minor gaps include no delete/edit path for accounts, people, or outreach records, and no direct get-person-by-URL tool for retrieving enriched profile details after scrape_person_profile.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources