ZBS Index What actually exists in applied AI, with the source next to it

mcp server

com.predictionmarketspicks/quant

Quant tools + an NFL fantasy draft assistant for AI agents — Kalshi & Polymarket EV, edge, ADP.

Description as published by the maintainer. Source

  • version 1.8.0
  • active

active — Most recent push to the repository was 2026-07-27.

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 2026-07-27 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 1.8.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-27 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 2026-07-27 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

Where to get it

Related, by what their authors tagged them

  • stat-api — Sports Data — last commit 2026-07-07, shares nfl, prediction-markets
    NFL/NBA/MLB/NHL/PGA + DFS and prediction-market data. Browse free; query with a free API key.
  • Flaim Fantasy — last commit 2026-08-06, shares fantasy-football
    Read-only fantasy analysis for ESPN, Yahoo, and Sleeper leagues via MCP
  • ClearMarket — last commit 2026-08-06, shares kalshi, polymarket, prediction-markets
    Reference data for prediction markets: graded resolution clarity, cross-venue links, provenance.
  • Simmer — last commit 2026-08-05, shares kalshi, polymarket, prediction-markets
    Trade prediction markets with AI agents — skill discovery, autoresearch, and execution.
  • CoinRithm Agent Trading — last commit 2026-08-06, shares kalshi, polymarket, prediction-markets
    Keyless prediction-market data across 12 venues plus paper-trading of crypto spot, futures, and PM.
  • Kalshi Prediction Markets — last commit 2026-08-05, shares kalshi, prediction-markets
    MCP server for Kalshi prediction markets: native RSA-PSS auth, rate limiting, demo/prod safety.
  • CPZAI — last commit 2026-07-31, shares quant
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  • AlgoVault — Crypto Quant Trade Calls — last commit 2026-08-06, shares quant
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  • VARRD — Statistically Validated Trading Edges + AI Research Engine — last commit 2026-05-04, shares quant
    Validated trading edges across futures, equities, crypto. Live signals, full audit trail.
  • Polymarket MCP — last commit 2026-08-05, shares polymarket, prediction-markets
    Polymarket market data, live CLOB books, replay, simulation, and opt-in trading in Rust.

These share tags the maintainers applied themselves, such as nfl, prediction-markets, fantasy-football, kalshi. 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.

How the author describes it

Topics the maintainer set on GitHub: ai-agents, claude, fantasy-football, kalshi, llm-tools, mcp, mcp-server, model-context-protocol, nfl, polymarket, prediction-markets, quant.

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Sources

  1. predictionmarketspicks/mcp on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.