kalshi-mcp-server
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Alternatives to kalshi-mcp-server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceConnects Claude Desktop, Cursor, Windsurf, and autonomous agents to live prediction-market Level 2 orderbooks, cross-venue arbitrage scanning, quadratic fee calculations, whale trade monitoring, and multi-venue market search across seven venues.534 npmMIT

Problee MCPofficial
AlicenseBqualityBmaintenanceEnables AI agents to discover and read live prediction markets with their prices, price history and recent trades, view the public leaderboard, and place or cancel limit orders while tracking their own positions. It also installs into Claude Desktop, Claude Code, Cursor or Codex using a local bridge that keeps the API key in a private credentials file instead of command-line arguments.3127 npmMIT- AlicenseBqualityAmaintenanceEnables MCP-compatible AI agents to research and trade prediction markets on Polymarket and Kalshi, including market search, orderbooks, price history, positions, order routing, and on-chain builder-code attribution, plus overshoot and dispute-risk signals.4269 PyPI1MIT
- AlicenseAqualityDmaintenancePrediction market probability oracle for AI agents. 26 tools across 500+ live markets from Kalshi and Polymarket. Cross-source arbitrage detection, structured TPF signals, Kelly Criterion sizing, agent performance tracking, and webhook alerts.974 npm1MIT
- AlicenseAqualityDmaintenanceProvides prediction market intelligence, research, and strategy signals for platforms like Kalshi, Polymarket, and Robinhood. It enables AI assistants to perform market screening, arbitrage detection, and deep causal analysis to support informed trading decisions.271MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to search Kalshi, Polymarket and Limitless prediction markets by keyword, venue, category or status, inspect series and market details, and review recorded YES bid/ask price history over a market's life. It also reports recording coverage and lists datasets, letting users browse or download daily order book Parquet files with an API key.101MIT
TDQS
Scored across 5 tools
Each tool targets a clearly different function: orderbook depth, market search, fee calculation, probability/Kelly analytics, and cross-venue arbitrage. There is minor conceptual overlap between fee/breakeven calculations and cross-spread arbitrage economics, but the descriptions make the boundaries mostly clear.
All tools use a consistent kalshi_ prefix followed by a descriptive noun phrase. Although the names are noun-oriented rather than verb_noun, the convention is uniform and predictable across the entire set.
Five tools is well within the ideal range for a focused analytics server. Each tool covers a distinct part of the Kalshi market-analysis workflow without unnecessary surface area.
The surface covers search, orderbook depth, fee modeling, implied probability/Kelly sizing, and cross-venue arbitrage, which are the core analytics for this domain. Minor gaps exist around fetching a single market by ticker or accessing historical price data, but the main workflows are supported.