Skip to main content
Glama
webanalyticsprobd-maker

LinkedIn Intelligence & Research MCP Server

by webanalyticsprobd-maker
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to LinkedIn Intelligence & Research MCP Server

No user-submitted related servers found.

    Related Servers

    • sales-intelligence

      jbalbu01
      A
      license
      A
      quality
      D
      maintenance
      Enables research on prospects, pull call transcripts, and enrich leads using Gong, ZoomInfo, Clay, and LinkedIn Sales Navigator through natural language.
      16
      1
      MIT

    • signal-prospector

      thomasproject-stack
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables B2B prospecting from natural language: detect buying signals, score leads against ICP, enrich decision-makers, and draft personalized outreach messages via Claude.
      2
      MIT

    • LinkedIn MCP

      CoolSapiens
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to securely search your LinkedIn network, contacts, and DMs to find warm leads, intro paths, and hidden opportunities.
      -

    • LinkedNav MCP

      linglistack
      A
      license
      Not graded
      quality
      C
      maintenance
      Connects AI assistants to LinkedIn outreach, enabling lead finding, campaign management, messaging, and analytics through natural language.
      MIT
    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

    B3.2/5.0

    Scored across 20 tools

    Disambiguation3/5

    At least two pairs (research_profile vs analyze_prospect, build_lead_search vs generate_boolean_search) have heavily overlapping scopes, and extract_topics overlaps with analyze_recent_activity. Most other tools are clearly separated by noun and verb, so descriptions resolve most ambiguity, but the overlap is notable.

    Naming Consistency5/5

    All 20 tools follow the linkedin_ prefix plus verb_noun snake_case pattern. Verbs are consistent lowercase and the noun indicates the target resource, making tool names highly predictable.

    Tool Count4/5

    20 tools is on the upper end of typical server size, bordering on heavy. However, the tools form a coherent pipeline spanning activity retrieval, profile/post analysis, signal detection, lead search, scoring, and prospect orchestration, so the count is reasonably justified.

    Completeness4/5

    The server covers the full lead-research workflow: getting and analyzing activity, researching profiles, detecting signals, finding opportunities, building searches, importing/analyzing results, filtering/ranking, and scoring. Minor gaps include standalone company analysis or direct LinkedIn profile lookup, but these are workaroundable.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources