Prediction Markets Data: Kalshi + Polymarket

io.github.brenton-kellerPublished by GitHub account brenton-kellerv0.1.0Updated Oct 25, 2026

Live Kalshi + Polymarket prices, orderbooks, trades, results. Pay per result via Apify.

VerifiedStreamable HTTPWeb executableFinance

Overview

AI-generated overview

Remote MCP server giving an assistant live Kalshi and Polymarket prediction-market prices, orderbooks, trades and results, billed per result through Apify.

What you can do
Retrieve live prediction-market prices from Kalshi and Polymarket, covering both venues in one place. Look up orderbook data for markets on these platforms. Review recent trades and settled results. Usage is metered per result through Apify rather than a flat subscription.
When to use it
Useful when you want an assistant to check current odds, orderbook depth, trade activity or outcomes on Kalshi and Polymarket without building separate integrations for each venue.
Requirements
A remote MCP endpoint at mcp.apify.com over streamable HTTP; no local package or runtime is needed. An Apify account with billing is implied by the per-result pricing, though the manifest declares no authentication, environment variables or headers.
Before you install
Billing is pay per result through Apify, so repeated queries can incur charges. Market data is third-party and may be delayed or incomplete; do not treat it as financial advice.

Installation

In SourceWeft

  1. Open Prediction Markets Data: Kalshi + Polymarket in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.brenton-keller%2Fprediction-markets-data/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "prediction-markets-data-kalshi-polymarke": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=brenton8907/prediction-markets-data"
    }
  }
}

Tools

0
SourceWeft has not read this server's tools yet.

Version history

1
  1. v0.1.0LatestSep 16, 2026

Score

28% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declaredRequired10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.