# Arena Predictions [Health: Active]

**Category:** 💰 Finance & Fintech  
**Repository:** https://arena-predictions.com/docs/mcp  
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**Directory Page:** https://allmcps.com/mcp/arena-predictions

## Description
Paper trade prediction markets at live prices from your AI agent, and score every trade.

## Claude Desktop Quick Installation
Remote MCP endpoint (confidence: medium). Install path inferred — verify against the README before running it. Add as a URL/SSE server in your client:

```json
"mcpServers": {
  "arena-predictions": {
    "url": "https://arena-predictions.com/docs/mcp"
  }
}
```

## Documentation

## What Arena Predictions does

The Arena Predictions MCP server gives an AI agent access to paper trading for prediction markets. Trades are made against live prices, allowing an agent to work with current market conditions while keeping the activity simulated. Each trade can also be scored, providing a way to evaluate the agent’s decisions after it acts.

This fits projects that need to assess prediction-market behavior without using the description’s material to imply live-money execution. It can be relevant for experiments, agent evaluations, or workflows where the result of each simulated trade needs to be measured.

As a listing in the 💰 Finance & Fintech category, Arena Predictions is focused on market-oriented agent workflows rather than general-purpose data access. The supplied information does not identify supported market types, account features, or additional financial integrations.

## How it works

An AI agent uses the Arena Predictions MCP server to interact with prediction markets through paper trades. The market price used for those trades is live, so the agent’s decisions are made against current pricing rather than a purely static example. The server then scores every trade, giving the workflow an outcome to inspect.

The available description establishes three core stages: access a prediction market, place a simulated trade at the current price, and score that trade. It does not specify the scoring formula, the available trade actions, or whether scores are returned immediately or updated later. Those details should be verified in the service documentation before building logic that depends on them.

## Tools and capabilities

The Arena Predictions MCP server is described as supporting these capabilities:

- Paper-trading prediction markets
- Using live market prices for simulated trades
- Scoring each trade
- Connecting those activities to an AI agent through MCP

These capabilities make the Arena Predictions MCP server suitable for testing agent decisions in a prediction-market setting. The provided material does not document tool names, argument schemas, response formats, authentication, or supported MCP transports.

## Limitations and notes

Paper trading should not be treated as evidence of real-world trading performance. The available description confirms simulated trading and trade scoring, but it does not explain how scores are calculated or what data is retained.

No installation instructions, environment variables, license, client compatibility list, market coverage, or pricing details are included in the supplied material. Developers should consult the linked documentation for those implementation details. In particular, client selection and deployment configuration cannot be determined from the available listing information alone.

_Full upstream README: https://allmcps.com/mcp/arena-predictions/readme_