Blabigo LinkedIn MCP

An official MCP server by Blabigo that allows AI agents to manage LinkedIn accounts via 13 tools. It supports reading analytics, listing and managing posts (drafts, scheduled), uploading media, and scheduling content. It enforces limits on the server side and uses OAuth for secure authentication without requiring manual key configuration for compliant clients.

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Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

Vendor evidenceStreamable HTTPOAuth sign-inEndpoint checked 2026-11-01Operated by Blabigo

You need:API keys are created in the Blabigo dashboard under Settings → MCP

MCP endpoint (Streamable HTTP)

https://studio.blabigo.ai/api/mcp/linkedin

Vendor documentation

What you can do with it

Read LinkedIn post and account analytics
Create and schedule LinkedIn posts
Upload media assets for LinkedIn posts
List and manage draft or scheduled posts

Source and maintenance

Vendor evidenceRegistry 1.6.0

mcp-registry: com.blabigo/linkedin-agent@1.6.0 Project website

Tools

Reported by the attributed source; not independently observed by Koskamo.

No tool definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks: 1 of 1 (100%)
Average latency: 373 ms
95th percentile latency: 373 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

Nov 1, 2026, 8:54 AM UTC · probe · passed · 373 ms · metadata changed · refuses unauthenticated initialize (HTTP 401)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http blabigo-linkedin-mcp https://studio.blabigo.ai/api/mcp/linkedin

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add blabigo-linkedin-mcp --url https://studio.blabigo.ai/api/mcp/linkedin

Cursor

Merge this server into .cursor/mcp.json in your project, then enable blabigo-linkedin-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "blabigo-linkedin-mcp": {
      "url": "https://studio.blabigo.ai/api/mcp/linkedin"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).

Cline configuration

{
  "mcpServers": {
    "blabigo-linkedin-mcp": {
      "type": "streamableHttp",
      "url": "https://studio.blabigo.ai/api/mcp/linkedin",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start blabigo-linkedin-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "blabigo-linkedin-mcp": {
      "type": "http",
      "url": "https://studio.blabigo.ai/api/mcp/linkedin"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http blabigo-linkedin-mcp https://studio.blabigo.ai/api/mcp/linkedin

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "blabigo-linkedin-mcp": {
      "url": "https://studio.blabigo.ai/api/mcp/linkedin"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "blabigo-linkedin-mcp": {
      "serverUrl": "https://studio.blabigo.ai/api/mcp/linkedin"
    }
  }
}

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