Rankera MCP

A read-only MCP server that provides structured access to Rankera's brand facts, including plans, channels, and tracking metrics. It allows AI agents to retrieve information about the service's capabilities, pricing tiers, and the specific content types published for AI visibility optimization.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-19Operated by Rankera

MCP endpoint (Streamable HTTP)

https://rankera.ai/mcp

Vendor documentation

What you can do with it

Retrieve Rankera pricing and plan details
Access brand facts and configuration data
Understand content publishing channels
Check service tracking metrics

Tools advertised by the last live check:

get_brand_facts
get_pricing
list_services
search_site
ask_question
get_page

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

Cursor

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

Cursor configuration

{
  "mcpServers": {
    "rankera-mcp": {
      "url": "https://rankera.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": {
    "rankera-mcp": {
      "type": "streamableHttp",
      "url": "https://rankera.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

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

VS Code configuration

{
  "servers": {
    "rankera-mcp": {
      "type": "http",
      "url": "https://rankera.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 rankera-mcp https://rankera.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": {
    "rankera-mcp": {
      "url": "https://rankera.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": {
    "rankera-mcp": {
      "serverUrl": "https://rankera.ai/mcp"
    }
  }
}

Ground your agent in cited data

Rankera 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.

Connect Koskamo Browse datasets

See all 1,050

Do you run Rankera MCP?

Prove ownership with a DNS record, a well-known file, or your Official MCP Registry entry, and your edits publish immediately. Proofs are re-checked weekly; admins can still hide or remove a listing.

Claim this listing