Rival Mcp
@nuance-dev
About Rival Mcp
rival-mcp
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"rival": {
"command": "npx",
"args": [
"-y",
"rival-mcp"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Rival Mcp?
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.
How to use Rival Mcp?
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.
Key features of Rival Mcp
- Query 60+ AI models with benchmarks, pricing, and capabilities
- Filter models by provider, category, capability, or free‑text search
- Get detailed per‑model information including unique features
- Compare 2–3 models side by side on benchmarks and pricing
- Works with any MCP‑compatible AI assistant
Use cases of Rival Mcp
- Find the best model for a coding or reasoning task without leaving your editor
- Compare pricing and performance of flagship models like GPT‑4.1, Claude 3.7 Sonnet, and Gemini 2.5 Pro
- Search for models that support vision, image generation, or function calling
- Filter available models by provider or category (flagship, small, free, etc.)
FAQ from Rival Mcp
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.
Do I need an API key or authentication?
No. All data is read from the public rival.tips API; no API key or authentication is required.
What data does Rival Mcp provide?
It provides model benchmarks, pricing, capabilities, unique features, and pre‑generated showcase responses for more than 60 AI models.
Which transports and clients are supported?
The server communicates over stdio using the Model Context Protocol, so it works with any MCP‑compatible client (Claude, Cursor, Windsurf, etc.).
Are there any resources or prompts available?
No — the server exposes only tools (no resources or prompts), and all data is read‑only.
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