Koskamo

LABRICA MCP

Official MCP server by LABRICA enabling AI agents to manage social media operations including brand voice management, content validation, scheduling, publishing, and analytics across platforms like VK, Telegram, and X.

Endpoint and access

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

LABRICA MCP logo, by LABRICAOAuth sign-inEndpoint checked 2026-10-19Operated by LABRICA
MCP endpoint (Streamable HTTP)
https://mcp.labrica.pro/mcp
Vendor documentation

What you can do with it

  • Create and schedule social media posts
  • Validate post content against brand rules
  • Retrieve social media analytics reports
  • Generate content using brand voice

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 a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http labrica-mcp https://mcp.labrica.pro/mcp

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 labrica-mcp --url https://mcp.labrica.pro/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable labrica-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "labrica-mcp": {
      "url": "https://mcp.labrica.pro/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.
Cline configuration
{
  "mcpServers": {
    "labrica-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.labrica.pro/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start labrica-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "labrica-mcp": {
      "type": "http",
      "url": "https://mcp.labrica.pro/mcp"
    }
  }
}

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 labrica-mcp https://mcp.labrica.pro/mcp

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": {
    "labrica-mcp": {
      "url": "https://mcp.labrica.pro/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "labrica-mcp": {
      "serverUrl": "https://mcp.labrica.pro/mcp"
    }
  }
}

Ground your agent in cited data

LABRICA MCP gives your agent tools. Koskamo gives it reviewed, cited facts to check its answers against. Add it as a second MCP server; public reads need no API key.

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