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LinkedIn MCP Server

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      Enables AI assistants to create and manage LinkedIn posts via OAuth, including text posts, URL shares, deletions, profile lookup, and company page posting.
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      Enables AI agents to manage professional networking on LinkedIn by providing tools for posting updates, searching for jobs, and analyzing profiles. It facilitates secure interaction with the LinkedIn platform through OAuth 2.0 authentication and the Model Context Protocol.
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    TDQS

    C2.8/5.0

    Scored across 34 tools

    Disambiguation3/5

    Most tools are clearly separated by resource and action, such as list_campaigns and create_comment. However, whoami overlaps with get_member_profile, and the capability/metadata tools (list_tool_catalog, list_capabilities, list_endpoint_manifest, can_execute_tool) have fuzzy boundaries that could cause an agent to pick the wrong one.

    Naming Consistency3/5

    The dominant snake_case style is readable and mostly follows a verb_noun pattern like list_campaigns and create_post. But the set mixes conventions with one-word whoami, noun_verb linkedin_get/linkedin_post, and auth_* tools that resemble domain-prefixed verbs or nouns, making the pattern inconsistent.

    Tool Count2/5

    34 tools is too many for an agent to navigate efficiently, especially with 8 auth tools, 4 capability/metadata tools, and raw HTTP helpers padding the surface. The broad LinkedIn scope justifies some size, but several utility tools could be consolidated or removed.

    Completeness3/5

    Core workflows for posts, comments, reactions, media upload, and ad campaigns are represented, and raw linkedin_post can fill some gaps. However, there is no update_post, no delete_comment, and no semantic tool to attach uploaded media to a post, leaving notable lifecycle dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive