Connect-MCP

Mantis

io.github.Alfred768/mantis · v1.1.4

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

MCPremoteno credentialsFinanceE-commerceFiles & storage

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 6 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 83/100

What it does: 6 tools · 4 read, 1 write · Finance, Developer tools, E-commerce

Test call get_arbitrage: needs a key: tool error: {"error":"API key required","get_key":"POST /api/v1?endpoint=keys&action=issue with {\"email\":\"[email protected]\"}","up (1,040 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://mantiss.store/mcp

Tools

6 tools listed at last check
  • 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.

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Repository