LinkedIn Intelligence MCP Server

87 tools. 30 can modify or destroy data without limits.

6 destructive tools with no built-in limits. Policy required.

Last updated:

30 can modify or destroy data
57 read-only
87 tools total

Community server · catalogue entry verified 11/06/2026

How to control LinkedIn Intelligence MCP Server ↓

Read (57) Write / Execute (24) Destructive / Financial (6)
Critical Risk

30 of LinkedIn Intelligence MCP Server's 87 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

PolicyLayer is an MCP gateway — it sits between your AI agents and LinkedIn Intelligence MCP Server, and nothing reaches the server without passing your rules. These are the rules we recommend:

Deny destructive operations
{
  "cancel_scheduled_post": {
    "deny_if": [
      {
        "conditions": [],
        "on_deny": "Blocked by default. Requires approval."
      }
    ]
  }
}

Destructive tools should never be available to autonomous agents without human approval.

Rate limit write operations
{
  "reply_invitation": {
    "limits": [
      {
        "counter": "reply_invitation_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations
{
  "analyze_content_performance": {
    "limits": [
      {
        "counter": "analyze_content_performance_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

  1. Create a free account and register LinkedIn Intelligence MCP Server — nothing to install.
  2. Add these rules — paste them, or build them visually. Tune the limits to your setup.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
ENFORCE POLICY ON LINKEDIN INTELLIGENCE →

Free to start. No card required.

READ 57 tools
Read analyze_content_performance Analyze content performance patterns for a profile. Read analyze_draft_content Analyze draft content and get suggestions for improvement. Read analyze_engagement Perform deep engagement analysis on a specific post. Read analyze_hashtag_performance Analyze hashtag usage and performance. Read analyze_my_content_performance analyze_my_content_performance Read analyze_optimal_posting_times Analyze optimal posting times based on engagement patterns. Read analyze_post_audience Analyze the audience engaging with a specific post. Read batch_get_profiles Get multiple LinkedIn profiles efficiently. Read check_browser_automation_status Check if browser automation is available for profile updates. Read debug_context Debug tool to check the internal state of the MCP server. Read get_article get_article Read get_auth_status get_auth_status Read get_cache_stats Get cache statistics and performance metrics. Read get_comments_official get_comments_official Read get_company Get detailed company information. Read get_company_by_domain get_company_by_domain Read get_company_updates Get recent posts/updates from a company page. Read get_conversation get_conversation Read get_conversation_details Get conversation ID and details for a specific profile. Read get_conversations get_conversations Read get_draft Get a specific draft by ID. Read get_feed Get the authenticated user's LinkedIn feed. Read get_invitations get_invitations Read get_job Get detailed information about a specific job posting. Read get_job_skills Get skills required for a job posting. Read get_my_post_analytics get_my_post_analytics Read get_my_posting_recommendations get_my_posting_recommendations Read get_my_posts get_my_posts Read get_my_profile get_my_profile Read get_network_stats Get statistics about the authenticated user's LinkedIn network. Read get_organization_followers get_organization_followers Read get_post_analytics Get analytics for a specific post. Read get_post_comments Get comments on a specific post. Read get_post_reactions Get reactions/likes on a specific post. Read get_profile get_profile Read get_profile_articles get_profile_articles Read get_profile_completeness Calculate profile completeness score with improvement suggestions. Read get_profile_contact_info Get contact information for a LinkedIn profile. Read get_profile_interests get_profile_interests Read get_profile_posts get_profile_posts Read get_profile_sections Get all editable profile sections with current content. Read get_profile_skills Get skills and endorsements for a LinkedIn profile. Read get_profile_views Get profile view statistics for the authenticated user. Read get_rate_limit_status Get current rate limit status. Read get_scheduled_post Get a specific scheduled post. Read get_school Get school/university information. Read get_similar_profiles get_similar_profiles Read list_drafts List all content drafts. Read list_scheduled_posts List all scheduled posts. Read search_ads search_ads Read search_ads_by_advertiser search_ads_by_advertiser Read search_ads_by_keyword search_ads_by_keyword Read search_companies search_companies Read search_content search_content Read search_jobs search_jobs Read search_people search_people Read generate_engagement_report Generate a comprehensive engagement report for a profile.

Other MCP servers with similar tools — same risk classification, starter policies for each.

Can an AI agent delete data through the LinkedIn Intelligence MCP Server MCP server? +

Yes. The LinkedIn Intelligence MCP Server server exposes 6 destructive tools including cancel_scheduled_post, delete_comment, delete_draft. These permanently remove resources with no undo. PolicyLayer blocks destructive tools by default so they never reach the upstream server.

How do I prevent bulk modifications through LinkedIn Intelligence MCP Server? +

The LinkedIn Intelligence MCP Server server has 24 write tools including reply_invitation, reply_to_conversation, add_profile_skill. Set a rate limit in your policy -- for example, 10 calls per hour prevents an agent from making more than 10 modifications per hour. PolicyLayer enforces this at the gateway, before calls reach LinkedIn Intelligence MCP Server.

How many tools does the LinkedIn Intelligence MCP Server MCP server expose? +

87 tools across 3 categories: Destructive, Read, Write. 57 are read-only. 30 can modify, create, or delete data.

How do I enforce a policy on LinkedIn Intelligence MCP Server? +

Register the LinkedIn Intelligence MCP Server MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every LinkedIn Intelligence MCP Server tool call.

Deterministic rules across all 87 LinkedIn Intelligence MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

87 LinkedIn Intelligence MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.