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linkedin-mcp

linkedin-mcp

by aigamer-dev

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      Enables AI agents with read/write access to LinkedIn API, including profile, posts, media, organizations, comments, reactions, and analytics.
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    • A
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      Enables AI agents to publish text and link posts, comment, react, and delete posts on LinkedIn through the official OAuth API, with every write gated behind human approval via a two-phase prepare/execute flow. Includes exact-match digests, single-use expiring proposals, daily write caps, and private local token storage with zero third-party dependencies.
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    • A
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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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      Allows AI agents to authenticate with LinkedIn and share posts or links via the Model Context Protocol.
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    TDQS

    B3.3/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools perform clearly separate operations on different resources: reading the authenticated profile versus publishing a post. There is no realistic way to confuse get_profile with create_post.

    Naming Consistency5/5

    Both names follow the same verb_noun snake_case convention (get_profile, create_post) with unambiguous verbs and resources.

    Tool Count3/5

    Two tools is thin for a LinkedIn integration, which naturally spans profiles, posts, feeds, and connections. It is a reasonable minimal pair but feels under-scoped rather than well-developed.

    Completeness2/5

    The surface only supports reading one's own profile and publishing a text post. There is no way to update the profile, read/list one's posts, delete or edit a post, or interact with others, leaving obvious lifecycle gaps.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues