mcp server
Prediction Markets API
Prediction market odds from Polymarket. Active markets, probabilities, volume. x402.
Description as published by the maintainer. Source
- version 1.1.0
- active
active — Most recent push to the repository was 2026-07-19.
What this server can do
3 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
prediction_get_market_odds(query, marketId)- Use this when you need detailed odds, probabilities, and trading data for a specific prediction market. Searches both Polymarket and Kalshi to find the best match by market ID or question text. 1. question: the full prediction market question text 2. outcomes: array of possible outcomes with their current probabilities 3. outcomePrices: decimal probabilities per outcome (0.72 = 72% implied probability) 4. volume: total all-time trading volume in USD 5. volume24h: trading volume in the last 24 hours 6. liquidity: current depth of the order book in USD 7. endDate: resolution date of the market 8. description: detailed market description and resolution criteria 9. active: whether the market is currently open for trading 10. source: which platform the market is from -- "polymarket" or "kalshi" Example output: { question: "Will ETH flip BTC by 2027?", outcomes: ["Yes", "No"], outcomePrices: { "Yes": 0.08, "No": 0.92 }, volume: 2340000, volume24h: 45000, liquidity: 120000, endDate: "2027-12-31", active: true, source: "polymarket" } Use this when a user asks about the probability of a specific event happening, election odds, or crypto predictions. Provides the crowd-sourced probability estimate backed by real money from two leading platforms. Do NOT use for crypto price data -- use token_get_price instead. Do NOT use for crypto news -- use crypto_get_news instead. Do NOT use for stock prices -- use stock_get_quote instead. Do NOT use for DeFi yields -- use defi_find_best_yields instead. Do NOT use for Hyperliquid perp data -- use hyperliquid_get_market_data instead.
prediction_list_markets(sort, limit, source, category)- Use this when you need to browse active prediction markets or find betting odds on real-world events. Returns a list of active markets from Polymarket and Kalshi with current probabilities, trading volume, and metadata. 1. question: the prediction market question (e.g. "Will Bitcoin reach $100k by December 2026?") 2. outcomePrices: probability for each outcome as decimal (0.65 = 65% chance YES) 3. volume: total trading volume in USD 4. liquidity: current available liquidity in USD 5. endDate: when the market resolves 6. category: topic category (politics, crypto, sports, science, culture) 7. active: whether the market is currently trading 8. source: data source -- "polymarket" or "kalshi" Example output: { markets: [{ question: "Will Trump win 2028?", outcomePrices: { "Yes": 0.42, "No": 0.58 }, volume: 15420000, liquidity: 890000, endDate: "2028-11-06", category: "politics", source: "polymarket" }] } Use this to gauge public consensus on future events. Merges data from both Polymarket (crypto-native) and Kalshi (CFTC-regulated). Essential for research, forecasting, and understanding market sentiment on any topic. Do NOT use for crypto price data -- use token_get_price instead. Do NOT use for crypto news -- use crypto_get_news instead. Do NOT use for stock prices -- use stock_get_quote instead. Do NOT use for DeFi yields -- use defi_find_best_yields instead. Do NOT use for Hyperliquid perp data -- use hyperliquid_get_market_data instead.
prediction_trending_markets(limit, source)- Use this when you need to see what prediction markets are trending right now. Returns the hottest markets from both Polymarket and Kalshi ranked by recent trading volume and activity. 1. question: the market question 2. probability: current implied probability for the leading outcome (decimal) 3. volume24h: trading volume in the last 24 hours in USD 4. totalVolume: all-time trading volume in USD 5. priceChange24h: change in probability over the last 24 hours (e.g. +0.05 = probability rose 5%) 6. category: topic category 7. endDate: when the market resolves 8. source: data source -- "polymarket" or "kalshi" Example output: { trending: [{ question: "Will Fed cut rates in July 2026?", probability: 0.73, volume24h: 890000, totalVolume: 12500000, priceChange24h: 0.08, category: "politics", endDate: "2026-07-31", source: "polymarket" }] } Use this to discover what events the market is most interested in right now. Merges trending data from Polymarket and Kalshi. Great for finding breaking news impact, trending political events, or viral crypto bets. Do NOT use for crypto price data -- use token_get_price instead. Do NOT use for crypto news -- use crypto_get_news instead. Do NOT use for stock prices -- use stock_get_quote instead. Do NOT use for DeFi yields -- use defi_find_best_yields instead. Do NOT use for Hyperliquid perp data -- use hyperliquid_get_market_data instead.
Last successful function declaration observed on . Source: https://prediction-markets.api.klymax402.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://prediction-markets.api.klymax402.com/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-19 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.1.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-05-16 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-05-16 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 3 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | prediction-markets.api.klymax402.com | |
| mcp endpoint status | ok | The server listed 3 functions when asked. | as of probe | prediction-markets.api.klymax402.com |
Where to get it
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MCP server for Kalshi prediction markets: native RSA-PSS auth, rate limiting, demo/prod safety.
These share tags the maintainers applied themselves, such as crypto, prediction-markets, x402. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
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How the author describes it
Topics the maintainer set on GitHub: ai-agents, crypto, mcp, mcp-server, prediction-markets, x402.
This record as data
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