Koskamo

Asva AI MCP MCP server

The Asva AI MCP server allows AI assistants to query live Answer Engine Optimization (AEO) data, including brand visibility, share of voice, citations, sentiment, and competitor rankings across major AI models like ChatGPT, Claude, and Gemini. It connects via OAuth 2.1 with PKCE, enabling users to pull real-time analytics without opening the dashboard.

Endpoint and access

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

OAuth sign-inEndpoint checked 2026-10-05Operated by Asva AI
MCP endpoint (Streamable HTTP)
https://mcp.asvaai.com/mcp
Vendor documentation

What you can do with it

  • Query brand mention rates on ChatGPT for specific timeframes
  • Compare share of voice between Gemini and Perplexity by region
  • Identify topics with the worst citation rates
  • Generate visibility audits for specific domains

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 asva-ai-mcp https://mcp.asvaai.com/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 asva-ai-mcp --url https://mcp.asvaai.com/mcp

Cursor

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

VS Code

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

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