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leandrojacome

LinkedIn Actions MCP

by leandrojacome
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Python
Local

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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

    B3/5.0

    Scored across 2 tools

    Disambiguation5/5

    publish_linkedin_post and apply_to_linkedin_job target completely different workflows: content publishing versus job applications. There is no overlap in purpose, inputs, or side effects, so an agent can confidently select the right tool.

    Naming Consistency5/5

    Both tools follow the same verb_noun pattern with consistent snake_case naming: publish_linkedin_post and apply_to_linkedin_job. The LinkedIn domain is uniformly reflected in each name.

    Tool Count3/5

    Two tools feels thin for a server labeled LinkedIn Actions, but each tool covers a meaningful high-level action. The count is on the borderline rather than clearly over- or under-scoped.

    Completeness3/5

    The two core actions are present, but notable gaps remain: there is no way to search or list jobs before applying, and no update/delete/get for published posts. Agents can complete basic workflows but cannot manage or extend them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources