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unipile-linkedin-mcp

by bhaktatejas922
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Python
Remote

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    Related Servers

    • LinkedIn MCP Server

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      quality
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      Enables AI assistants to interact with LinkedIn using the official API for profile access, company management, and job postings.
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    • Linked API MCP

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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

    A4/5.0

    Scored across 22 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap between start_chat, send_inmail, and send_message which could cause confusion. The descriptions help differentiate them, but the boundaries between initiating a chat vs sending an InMail vs sending a message in an existing chat are not immediately clear. Similarly, search_people and search_people_sales_nav are similar but separate. Overall, good disambiguation with minor issues.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case. Names clearly indicate the action and target resource (e.g., get_profile, send_invitation, search_companies). There are no mixed conventions or ambiguous naming styles.

    Tool Count4/5

    With 22 tools, the set is comprehensive but slightly high. However, each tool serves a distinct function covering multiple areas (profiles, search, messaging, invitations, accounts). The count is appropriate for the broad scope of LinkedIn automation, though it could be trimmed slightly.

    Completeness4/5

    The tool set covers core LinkedIn workflows: profile retrieval, searching (people, companies, posts), messaging (chats, InMail, invitations), and account management. Missing features like profile updates, message deletion, or advanced filtering are minor gaps. Overall, it's sufficiently complete for common use cases.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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