Koskamo

Rawa MCP

The Rawa MCP server enables AI assistants like Claude and ChatGPT to interact with the Rawa marketing platform. It allows users to read brand guidelines, products, and performance data, update marketing calendars and creative libraries, and, with admin approval, generate new creatives using credits and publish posts to connected social channels.

Endpoint and access

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

Rawa MCP logo, by RawaOAuth sign-inEndpoint checked 2026-10-18Operated by Rawa
MCP endpoint (Streamable HTTP)
https://mcp.rawa.ai/mcp
Vendor documentation

What you can do with it

  • Summarize brand voice and review weekly performance metrics
  • Generate a five-post content plan with captions based on calendar data
  • Analyze competitor ads and extract strategic ideas
  • Publish approved posts to connected social media channels

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 rawa-mcp https://mcp.rawa.ai/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 rawa-mcp --url https://mcp.rawa.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable rawa-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "rawa-mcp": {
      "url": "https://mcp.rawa.ai/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": {
    "rawa-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.rawa.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

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

Do you run Rawa MCP?

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