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LinkedIn MCP Server

↗ github.com/vahabcore/linkedin-mcp-server official repository

An MCP server that connects AI agents and clients to the official LinkedIn REST API for publishing posts, uploading images, creating polls, managing content, v…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last observation—pricing pages rechecked daily
Website liveness8 Oct 2026alive · separate from pricing

What it does

The specific capability behind this listing, and where to get it.

LinkedIn MCP Server

An MCP server that connects AI agents and clients to the official LinkedIn REST API for publishing posts, uploading images, creating polls, managing content, v…

Agentery has not yet captured structured capability detail for this provider.

Official LinkedIn MCP Server links

Price status · observed daily

Source repository available · no commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

MCP

Is LinkedIn MCP Server good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
Hosting model—
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

LinkedIn MCP Server's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

See the full market →
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "linkedin_mcp_server_3",
  "name": "LinkedIn MCP Server",
  "url": "https://github.com/vahabcore/linkedin-mcp-server",
  "logo": "https://github.com/vahabcore.png?size=200",
  "niche": null,
  "category": null,
  "short_summary": "An MCP server that connects AI agents and clients to the official LinkedIn REST API for publishing posts, uploading images, creating polls, managing content, v…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public pricing is shown for this open-source LinkedIn MCP Server repository.",
    "confidence": "medium",
    "source_url": "https://github.com/vahabcore/linkedin-mcp-server",
    "checked_at": "2026-10-05T03:35:50.063Z",
    "source_kind": "vendor",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/vahabcore/linkedin-mcp-server",
    "https://github.com/developer-tusharchauhan/linkedin-mcp",
    "https://github.com/StMoelter/mcp-linkedin",
    "https://github.com/ffucucuoglu/linkedin-mcp-server"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://github.com/vahabcore/linkedin-mcp-server",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [],
    "install": "npm install # Run unit and integration tests npm test # Start the serve",
    "repository": "https://github.com/vahabcore/linkedin-mcp-server"
  },
  "deployment": {
    "model": "both",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": "npm install # Run unit and integration tests npm test # Start the serve",
    "note": "Offered both ways: a vendor-hosted endpoint AND a self-run install are documented.",
    "evidence": {
      "sources": [
        "glama:hosting:remote-capable",
        "glama:spdxLicense",
        "page_text:hosted",
        "page_text:install"
      ],
      "excerpt": "SE) via GET /mcp and POST /messages for clients like Google Gemini Spark and Claude. Streamable HTTP via POST /mcp for modern command-line and agent runtimes like OpenAI",
      "url": "https://github.com/vahabcore/linkedin-mcp-server",
      "observed_day": "2026-10-06",
      "age_days": 2,
      "hosted_evidence": "wording: \"Streamable HTTP\"",
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": "MIT License",
    "note": "Named licence as published; applies to the code, not to where it runs.",
    "evidence": "glama:spdxLicense",
    "observed_day": "2026-10-06",
    "age_days": 2
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://github.com/pricing",
      "last_observed_day": "2026-09-20",
      "age_days": 18,
      "verified_day": null,
      "note": "not verified by the page-text gate"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "price_history_available": "Pass price_history:true for this provider's dated plan prices (observation dates, original currency).",
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 78,
    "uptime_7d": 1,
    "checked_at": "2026-10-08T02:39:28.681Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}