What if I don’t know the exact model ID?
Use the `search-models` tool with a query like `vision` or `cheap coding` to find matching models.
@nuance-dev
Basic information
rival-mcp
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"rival": {
"command": "npx",
"args": [
"-y",
"rival-mcp"
]
}
}
}List all AI models on rival.tips with filtering options. Returns model names, providers, capabilities, pricing, and benchmarks.
Get detailed information about a specific AI model including benchmarks, pricing, capabilities, unique features, and available providers.
Compare 2-3 AI models side by side — benchmarks, pricing, capabilities, and common challenges they both handle.
Search for AI models by name, description, or capability. Useful for finding models when you don't know the exact ID.
Rival Mcp is an MCP server that lets AI coding assistants (Claude Code, Cursor, Windsurf, and any MCP-compatible client) natively query AI model comparison data from rival.tips — including benchmarks, pricing, capabilities, and side‑by‑side comparisons — without leaving the editor.
Run npx rival-mcp in your terminal. No API key is required; all data comes from the public rival.tips API. Configure the server for your client (e.g., Claude Desktop, Cursor, Windsurf) by adding the command npx -y rival-mcp to the client’s MCP configuration file.
Use the `search-models` tool with a query like `vision` or `cheap coding` to find matching models.
No. All data is read from the public rival.tips API; no API key or authentication is required.
It provides model benchmarks, pricing, capabilities, unique features, and pre‑generated showcase responses for more than 60 AI models.
The server communicates over stdio using the Model Context Protocol, so it works with any MCP‑compatible client (Claude, Cursor, Windsurf, etc.).
No — the server exposes only tools (no resources or prompts), and all data is read‑only.

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