prediction-market-mcp
# š Prediction Markets MCP Server
> **Real-time prediction market data in your AI workflow.** Get current odds and prices from Polymarket, PredictIt, and Kalshi. No API keys required.
An [MCP (Model Context Protocol)](https://modelcontextprotocol.io) server that brings live prediction market data into AI coding environments like Cursor and Claude Desktop.
[](https://archestra.ai/mcp-catalog/jamesanz__prediction-market-mcp)
<a href="https://glama.ai/mcp/servers/@JamesANZ/prediction-market-mcp">
<img width="380" height="200" src="https://glama.ai/mcp/servers/@JamesANZ/prediction-market-mcp/badge" alt="prediction-market-mcp MCP server" />
</a>
## Why Use Prediction Markets MCP?
- š **No API Keys** ā Works out of the box, zero configuration
- š **Multi-Platform** ā Polymarket, PredictIt, and Kalshi in one interface
- ā” **Real-time Data** ā Current odds and prices from live markets
- šÆ **Easy Setup** ā One-click install in Cursor or simple manual setup
- š **Keyword Search** ā Find markets by topic or keyword
## Quick Start
Ready to explore prediction markets? Install in seconds:
**Install in Cursor (Recommended):**
[š Install in Cursor](cursor://anysphere.cursor-deeplink/mcp/install?name=prediction-markets-mcp&config=eyJwcmVkaWN0aW9uLW1hcmtldHMtbWNwIjp7ImNvbW1hbmQiOiJucHgiLCJhcmdzIjpbIi15IiwicHJlZGljdGlvbi1tYXJrZXRzLW1jcCJdfX0=)
**Or install manually:**
```bash
npm install -g prediction-markets-mcp
# Or from source:
git clone https://github.com/JamesANZ/prediction-markets-mcp.git
cd prediction-markets-mcp && npm install && npm run build
```
## Features
### `get-prediction-markets`
Search for prediction markets across multiple platforms by keyword.
**Parameters:**
- `keyword` (string, required): Search term (max 50 characters)
- Examples: "trump", "election", "supreme court"
**Returns:**
- Markets from Polymarket (percentage odds)
- Markets from PredictIt (dollar prices)
- Markets from Kalshi (regulated US markets)
## Installation
### Cursor (One-Click)
Click the install link above or use:
```
cursor://anysphere.cursor-deeplink/mcp/install?name=prediction-markets-mcp&config=eyJwcmVkaWN0aW9uLW1hcmtldHMtbWNwIjp7ImNvbW1hbmQiOiJucHgiLCJhcmdzIjpbIi15IiwicHJlZGljdGlvbi1tYXJrZXRzLW1jcCJdfX0=
```
### Manual Installation
**Requirements:** Node.js 18+ and npm
```bash
# Clone and build
git clone https://github.com/JamesANZ/prediction-markets-mcp.git
cd prediction-markets-mcp
npm install
npm run build
# Run server
node build/index.js
```
## Usage Examples
### Search for Markets
Find prediction markets by keyword:
```json
{
"tool": "get-prediction-markets",
"arguments": {
"keyword": "trump"
}
}
```
### Search Election Markets
Find markets related to elections:
```json
{
"tool": "get-prediction-markets",
"arguments": {
"keyword": "election"
}
}
```
## Supported Platforms
| Platform | Format | Description |
| -------------- | --------------- | ------------------------------- |
| **Polymarket** | Percentage odds | Crypto-based prediction markets |
| **PredictIt** | Dollar prices | Traditional prediction markets |
| **Kalshi** | Regulated | US-regulated prediction markets |
## Data Sources
- **Polymarket**: `https://clob.polymarket.com/markets`
- **PredictIt**: `https://www.predictit.org/api/marketdata/all/`
- **Kalshi**: Regulated US prediction markets
## Use Cases
- **Traders** ā Monitor odds and prices across platforms
- **Researchers** ā Analyze market sentiment and predictions
- **Developers** ā Build apps with prediction market data
- **Analysts** ā Track political and event probabilities
## Technical Details
**Built with:** Node.js, TypeScript, MCP SDK
**Dependencies:** `@modelcontextprotocol/sdk`, `superagent`, `zod`
**Platforms:** macOS, Windows, Linux
## Contributing
ā **If this project helps you, please star it on GitHub!** ā
Contributions welcome! Please open an issue or submit a pull request.
## License
MIT License ā see LICENSE file for details.
## Support
If you find this project useful, consider supporting it:
**ā” Lightning Network**
```
lnbc1pjhhsqepp5mjgwnvg0z53shm22hfe9us289lnaqkwv8rn2s0rtekg5vvj56xnqdqqcqzzsxqyz5vqsp5gu6vh9hyp94c7t3tkpqrp2r059t4vrw7ps78a4n0a2u52678c7yq9qyyssq7zcferywka50wcy75skjfrdrk930cuyx24rg55cwfuzxs49rc9c53mpz6zug5y2544pt8y9jflnq0ltlha26ed846jh0y7n4gm8jd3qqaautqa
```
**āæ Bitcoin**: [bc1ptzvr93pn959xq4et6sqzpfnkk2args22ewv5u2th4ps7hshfaqrshe0xtp](https://mempool.space/address/bc1ptzvr93pn959xq4et6sqzpfnkk2args22ewv5u2th4ps7hshfaqrshe0xtp)
**Ī Ethereum/EVM**: [0x42ea529282DDE0AA87B42d9E83316eb23FE62c3f](https://etherscan.io/address/0x42ea529282DDE0AA87B42d9E83316eb23FE62c3f)
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools, as there are no other tools to confuse it with. The tool's purpose is clearly defined to fetch prediction market prices from specific sources.
Since there is only one tool, naming consistency is inherently perfect with no deviations or mixed conventions to evaluate. The tool name follows a clear verb_noun pattern (get-prediction-markets).
A single tool is too few for a server named 'prediction-market-mcp', which suggests a broader domain involving prediction markets. This minimal toolset limits functionality and likely leaves significant gaps in coverage, such as creating markets, placing bets, or managing accounts.
The tool surface is severely incomplete for the prediction market domain. It only provides a read operation (get prices) but lacks essential CRUD/lifecycle operations like creating markets, updating positions, or deleting entries, which are critical for agent workflows in this context.