Kalshi Prediction Markets vs PokerData
Kalshi Prediction Markets is an MCP server published by cejor6. Marketplaces we read that list it: 2 (Official MCP Registry, PyPI (MCP servers)). PokerData is an MCP server published by hft-studio. Marketplaces we read that list it: 2 (Official MCP Registry, npm registry (MCP servers)). As of our marketplace pass on 2026-11-10. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.
Where each is published
| Marketplace |  Kalshi Prediction Markets |   PokerData |
|---|---|---|
| Official MCP Registry | Listed Version: 0.1.8 Downloads/month (PyPI): 702 Downloads/week (PyPI): 108 Forks (GitHub): 3 Stars (GitHub): 3 Not marked · First seen |
Listed Version: 1.0.4 Downloads/month (npm): 995 Downloads/week (npm): 838 Forks (GitHub): 0 Stars (GitHub): 2 Not marked · First seen |
| PyPI (MCP servers) | Listed Version: 0.3.4 Downloads/month (PyPI): 702 Downloads/week (PyPI): 108 Forks (GitHub): 3 Stars (GitHub): 3 Not marked · First seen |
Not listed |
| npm registry (MCP servers) | Not listed | Listed Version: 1.0.4 Downloads/month (npm): 995 Downloads/week (npm): 838 Forks (GitHub): 0 Stars (GitHub): 2 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | Kalshi Prediction Markets | PokerData |
|---|---|---|
| Marketplaces that list it | 2 | 2 |
| Stars (GitHub) (differs) | 3 (better) | 2 (worse) |
| Forks (GitHub) (differs) | 3 (better) | 0 (worse) |
| Last release (differs) | Not published | 2026-10-17 |
| Where it runs (differs) | On your machine (kalshi-mcp-server) | Remote server or your machine |
| Transport (differs) | stdio | Streamable HTTP |
| Tools it declares | Not published | Not published |
| Environment variables it asks for (differs) | 6, secrets among them: 1 | 1, secrets among them: 1 |
| Licence | MIT | MIT |
| Repository (differs) | github.com/cejor6/kalshi-mcp-server | github.com/hft-studio/pokerdata-mcp |
| Changes in the last 7 days (differs) | 0 | 1 |
| First seen (differs) | 2026-10-11 | 2026-10-15 |
| Endpoint at the last check (differs) | no remote endpoint we check | Responded 10 h ago |
Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.
What each says it does
Kalshi Prediction Markets
MCP server for Kalshi prediction markets: native RSA-PSS auth, rate limiting, demo/prod safety.
PokerData
GTO poker solver data: NLHE/PLO preflop ranges, postflop strategy, EV. 6-max NL preflop free.
How to run each
Kalshi Prediction Markets As a local MCP server: PyPI package
claude mcp add --env "KALSHI_API_KEY_ID=<YOUR_KALSHI_API_KEY_ID>" --env "KALSHI_PRIVATE_KEY_PEM=<YOUR_KALSHI_PRIVATE_KEY_PEM>" --transport stdio kalshi-mcp-server -- uvx kalshi-mcp-serverRequires: KALSHI_API_KEY_ID, KALSHI_PRIVATE_KEY_PEM (secret)
PokerData As a remote MCP server
claude mcp add --transport http pokerdata https://pokerdata.io/api/mcp --header "Authorization: Bearer <YOUR_TOKEN>"Requires: POKERDATA_API_KEY (secret), Authorization header
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Only PokerData has a remote endpoint we check. How we check endpoints
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
Only Kalshi Prediction Markets asks for
KALSHI_ALLOW_PRODKALSHI_API_KEY_IDKALSHI_ENVKALSHI_PRIVATE_KEY_PATHKALSHI_PRIVATE_KEY_PEM (secret)KALSHI_TRADING_ENABLED
Only PokerData asks for
POKERDATA_API_KEY (secret)
Settings as each marketplace publishes them. Asking for fewer is not better in itself.
What it can do: Kalshi Prediction Markets · What it can do: PokerData · Compare two other plugins
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Package data comes from the Python Package Index (pypi.org). Package data comes from the public npm registry (registry.npmjs.org). Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.