Rival Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Rival Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<p align="center"> <img src="https://www.rival.tips/favicon.svg" width="64" height="64" alt="RIVAL" /> </p>
<h1 align="center">rival-mcp</h1>
<p align="center"> MCP server for querying AI model comparison data from <a href="https://www.rival.tips">rival.tips</a> </p>
This server lets AI coding assistants — Claude Code, Cursor, Windsurf, and any MCP-compatible client — natively query model benchmarks, pricing, capabilities, and side-by-side comparisons without leaving your editor.
npx rival-mcpNo API key required. All data is served from the public rival.tips API.
Add to your .claude/settings.json (project-level) or ~/.claude/settings.json (global):
{
"mcpServers": {
"rival": {
"command": "npx",
"args": ["-y", "rival-mcp"]
}
}
}Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"rival": {
"command": "npx",
"args": ["-y", "rival-mcp"]
}
}
}Add to your Cursor MCP settings (.cursor/mcp.json):
{
"mcpServers": {
"rival": {
"command": "npx",
"args": ["-y", "rival-mcp"]
}
}
}Add to your Windsurf MCP config:
{
"mcpServers": {
"rival": {
"command": "npx",
"args": ["-y", "rival-mcp"]
}
}
}list-modelsList all AI models with optional filtering.
Parameters:
| Parameter | Type | Description |
|---|---|---|
provider | string (optional) | Filter by provider: OpenAI, Anthropic, Google, Meta, Mistral, etc. |
category | string (optional) | Filter by category: flagship, reasoning, coding, small, free, image-gen |
capability | string (optional) | Filter by capability: chat, code, vision, image-gen, function-calling |
q | string (optional) | Free-text search across name, ID, provider, and description |
Example prompts:
get-modelGet detailed information about a specific model — benchmarks, pricing, capabilities, unique features, and provider availability.
Parameters:
| Parameter | Type | Description |
|---|---|---|
id | string (required) | Model ID, e.g. gpt-4.1, claude-3.7-sonnet, gemini-2.5-pro |
Example prompts:
compare-modelsCompare 2-3 models side by side — benchmarks, pricing, capabilities, and shared challenges.
Parameters:
| Parameter | Type | Description |
|---|---|---|
models | string (required) | Comma-separated model IDs (2-3). Example: gpt-4.1,claude-3.7-sonnet |
Example prompts:
search-modelsSearch for models by name, description, or capability when you don't know the exact model ID.
Parameters:
| Parameter | Type | Description |
|---|---|---|
query | string (required) | Search query, e.g. vision, cheap coding, fast reasoning |
Example prompts:
# Install dependencies
npm install
# Run in development mode
npm run dev
# Build for production
npm run build
# Run the built server
npm startThis MCP server communicates over stdio (standard input/output) using the Model Context Protocol. When an AI assistant needs model comparison data, it calls the appropriate tool, which fetches data from the rival.tips public API and returns structured JSON.
The server exposes no resources or prompts — only tools. All data is read-only and publicly available.
All model data comes from rival.tips, an AI model comparison platform featuring:
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.