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linkedin-mcp

by 2060-io
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TypeScript
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    • linkedin-mcp

      vlpmedialtd
      A
      license
      A
      quality
      A
      maintenance
      Enables AI assistants to publish text, link, and image posts to a personal LinkedIn profile, as well as comment, react, and delete posts, through the official LinkedIn API.
      9
      12 npm
      2
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    • ProfileCraft Agent MCP Server

      naifuliang
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to audit professional profiles, check policy compliance, preview posts, and publish explicitly confirmed text posts through LinkedIn's official API.
      MIT

    • LinkedIn MCP Server

      himanshu31shr
      A
      license
      B
      quality
      C
      maintenance
      Enables AI agents with read/write access to LinkedIn API, including profile, posts, media, organizations, comments, reactions, and analytics.
      20
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    • linkedin-mcp

      PeterEkwere
      A
      license
      A
      quality
      C
      maintenance
      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.
      5
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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

    A3.7/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool targets a distinct action (comment, create different post types, delete, react, reshare, upload, profile fetch) with no overlap in functionality.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case, such as comment_on_post, create_image_post, and react_to_post.

    Tool Count5/5

    9 tools cover the core LinkedIn posting and engagement actions without being excessive or insufficient.

    Completeness4/5

    Covers creation, deletion, commenting, reacting, and resharing posts, but lacks retrieval tools like get_post or list_posts, which is a minor gap.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources