LinkedIn Ads MCP Server

io.github.cesteral/linkedin-mcp·v1.1.0·Analytics

Quality Score

/100

LinkedIn Ads management and analytics — CRUD, targeting, delivery forecasts, and media uploads

Repository →Remote endpoint →

§00 Trust verdict · v1 advisory · method

UNVERIFIEDno verdict on file

Verdict not yet evaluated for this tool. The hybrid eval runs adversarial cases first; coverage rolls out as the corpus expands. Until a verdict is recorded, an agent should treat this tool as not-yet-cleared and fall back to its own checks. Method: hybrid eval, four-state verdict, honest limits.

§01 Install

Remote endpoint

Streamable HTTP / SSE endpoint. Add to any MCP client that supports remote servers.

https://{host}/linkedin-mcp/mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "linkedin-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@cesteral/linkedin-mcp"
      ]
    }
  }
}

Cursor (.cursor/mcp.json)

{
  "mcpServers": {
    "linkedin-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@cesteral/linkedin-mcp"
      ]
    }
  }
}

Cline (cline_mcp_settings.json)

npx -y @cesteral/linkedin-mcp

§03 MCP Quality Score · methodology

freshness

completeness

installability

documentation

stability

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