[ Confirm upstream transport MCP ]

How to Use LinkedIn MCP Runner MCP Server with Bifrost

Write, edit, and schedule LinkedIn posts right from ChatGPT and Claude with LiGo.

[ MCP SERVER SUMMARY ]

LinkedIn MCP Runner MCP server summary

Write, edit, and schedule LinkedIn posts right from ChatGPT and Claude with LiGo. Connect LinkedIn MCP Runner through Bifrost MCP Gateway to centralize access control, virtual keys, and tool-call observability for your AI assistants.

Property	Details
Company	Upstream maintainer
Connection type	Confirm upstream transport
Authentication	Varies by upstream server
Package or endpoint	See upstream documentation
Capabilities	LinkedIn MCP Runner tools over MCP, AI assistant connectivity, Governed tool access through Bifrost
Official documentation	LinkedIn MCP Runner MCP documentation

Before you start

Review the LinkedIn MCP Runner upstream documentation for its installation requirements
Obtain any credentials required by the upstream service
A running Bifrost MCP Gateway instance

What you can do with LinkedIn MCP Runner

Write, edit, and schedule LinkedIn posts right from ChatGPT and Claude with LiGo.
Expose LinkedIn MCP Runner tools to Claude, Cursor, and other MCP clients through one endpoint
Apply virtual keys, tool allowlists, and audit logging at the gateway

MCP ServerIntegration

[ HOW TO CONNECT ]

Connect LinkedIn MCP Runner to Bifrost in three steps

Install Bifrost

Start the gateway locally or deploy in your VPC.

npx -y @maximhq/bifrost

Add LinkedIn MCP Runner in MCP Gateway

Open MCP Gateway in the Bifrost dashboard, click New MCP Server, and select the transport documented by the upstream server. Or register via the API below.

• Confirm the transport, command or endpoint, and authentication requirements in the LinkedIn MCP Runner upstream documentation.

• Replace every placeholder in the example before sending the request.

Point clients at Bifrost /mcp

Configure Claude Desktop, Cursor, or Claude Code to use your Bifrost endpoint with a virtual key instead of connecting directly to LinkedIn MCP Runner.

{
  "mcpServers": {
    "bifrost": {
      "url": "http://localhost:8080/mcp",
      "headers": {
        "Authorization": "Bearer vk_your_virtual_key"
      }
    }
  }
}

[ EXAMPLE CONFIG ]

Register LinkedIn MCP Runner via API

Add this MCP client with a POST to /api/mcp/client. See Connecting to MCP Servers for full options.

# For a remote HTTP or SSE server:
curl -X POST http://localhost:8080/api/mcp/client \
  -H "Content-Type: application/json" \
  -d '{
    "name": "linkedin-mcp-runner",
    "connection_type": "<http|sse>",
    "connection_string": "<upstream MCP endpoint>",
    "tools_to_execute": ["*"]
  }'

# For a local STDIO server:
curl -X POST http://localhost:8080/api/mcp/client \
  -H "Content-Type: application/json" \
  -d '{
    "name": "linkedin-mcp-runner",
    "connection_type": "stdio",
    "stdio_config": {
      "command": "<upstream command>",
      "args": ["<arg>"]
    },
    "tools_to_execute": ["*"]
  }'

[ WHY BIFROST ]

Run LinkedIn MCP Runner through one governed gateway

Access control

Virtual keys, RBAC, and tool allowlists per team or agent.

Cost governance

Attribute MCP tool spend alongside LLM usage in one view.

Observability

Log every tool call with latency, server, and virtual key metadata.

Credential isolation

Upstream secrets stay in the gateway — not on every laptop.

[ FAQ ]

Common questions

What does the LinkedIn MCP Runner MCP server do?

Write, edit, and schedule LinkedIn posts right from ChatGPT and Claude with LiGo. The exact tools available depend on the upstream server version and configuration.

How do I connect LinkedIn MCP Runner to Bifrost?

Check the upstream documentation to determine whether LinkedIn MCP Runner uses STDIO, Streamable HTTP, or SSE. Then add it as an MCP client in Bifrost using the corresponding command or endpoint.