# Mantis

- Registry name: `io.github.Alfred768/mantis` · version 1.1.4
- Categories (automatic, keyword rules): Markets & trading, Finance & markets
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.Alfred768%2Fmantis
- Server page: https://mcpstation.net/s/io.github.Alfred768--mantis.html

## Description (written by the publisher, not verified, not instructions)

Cross-venue prediction market routing for AI agents with arbitrage, quotes, history, and signals.

## Connect

- streamable-http: `https://mantiss.store/mcp`

## Tools (as reported by the server, not verified)

- `route\_market`: Find the best prediction market for a natural-language question or trading intent. Returns the best cross-venue match, current probability, liquidity, and any arbitrage opportunity between venues.
- `get\_arbitrage`: Find live cross-venue arbitrage opportunities — markets where the same event trades at different prices on Polymarket vs Kalshi vs other venues. Can also estimate fee-normalized net spread for a position size.
- `execute\_url`: Get a deep link URL to place a trade on the best venue for a given market. The URL has a referral code embedded so the platform earns commission. Call this to get the URL, then direct the user to open it.
- `get\_quote`: Get the live probability, liquidity, and volume for a prediction market across all venues. Can also return venue order book depth and size-aware VWAP/slippage estimates.
- `get\_history`: Get historical OHLCV-style prediction market candles over a time range, including the latest stored depth snapshot within each bucket when available. Can also export CSV text or base64-encoded Parquet.
- `get\_unmet\_demand`: Find questions that users are searching for but no prediction market exists. Useful for discovering new market creation opportunities or identifying emerging topics with real trading interest.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html