Fournit une interface axée sur la sécurité pour les contrats d'événements et les marchés perpétuels de Kalshi, prenant en charge le paper trading et l'exécution d'ordres en direct.
Aussi connu sous copyleftdev/kalshi-kernel, kalshi-kernel
- Étoiles
- 0
- Outils
- 12
- Téléchargements, 30 jours
- —
- Dernière version
- 0.1.1
- Dernier commit
- 14 nov. 2026
- Licence
- Apache-2.0
Qu'est-ce que Kalshi Kernel MCP ?
Kalshi Kernel est un serveur MCP. Fournit une interface axée sur la sécurité pour les contrats d'événements et les marchés perpétuels de Kalshi, prenant en charge le paper trading et l'exécution d'ordres en direct. Il expose 12 outils, comme kernel_status, search_markets, get_market.
Résumé généré à partir du README du projet
À propos du MCP server Kalshi Kernel
Kalshi Kernel permet de trader des contrats d'événements et des marchés perpétuels Kalshi via une interface agentique. Ce MCP server fournit une frontière spécialisée et restreinte pour les agents IA comme Hermes ou Claude Code, s'éloignant des API de trading généralistes au profit d'outils stricts basés sur des schémas. Il est conçu pour les développeurs qui construisent des environnements d'agents autonomes nécessitant des erreurs prévisibles et une séparation claire entre la simulation et l'exécution avec de l'argent réel.
Les utilisateurs peuvent exécuter le serveur localement via le transport stdio. Il utilise par défaut un mode paper trading avec un registre en mémoire et un solde initial de 100,00 $, ce qui est idéal pour tester des stratégies sans risque. Pour l'exécution en direct, le serveur nécessite des variables d'environnement spécifiques, notamment des clés API et un chemin vers une clé privée. Pour éviter les transactions accidentelles, le mode live doit être explicitement activé via une commande secondaire locale au processus après une confirmation manuelle. Le serveur inclut des fonctionnalités de sécurité telles que des limites notionnelles par ordre et quotidiennes pour contrôler l'exposition lors des sessions en direct.
Ce que vous pouvez faire avec
- 1Simuler des stratégies de tradingTester des hypothèses de marché en utilisant un registre en mémoire qui simule des exécutions immédiates sans risquer de capital réel.
- 2Surveiller les données du marchéRécupérer les détails du marché en temps réel, des instantanés du carnet d'ordres et des données de bougies historiques pour les contrats d'événements et les perpétuels.
- 3Exécuter des ordres de contrats d'événements en directPlacer, modifier ou annuler de véritables ordres sur l'API de production Kalshi une fois la session sécurisée et activée.
- 4Gérer le risque avec des limitesAppliquer des limites financières strictes en définissant un nombre maximum d'ordres quotidiens et des montants notionnels en dollars.
Extrait du README du projet. Chaque cas d'utilisation est vérifié par rapport à une citation du document.
Comment installer Kalshi Kernel MCP
Formats vérifiés le 10 nov. 2026Ajouter à CursorAjouter à GooseInstaller Kalshi Kernel MCP dans Claude Code
$ claude mcp add --env 'KALSHI_API_KEY_ID=<YOUR_KALSHI_API_KEY_ID>' kalshi-kernel -- docker run -i --rm ghcr.io/copyleftdev/kalshi-kernel:0.1.1Installer Kalshi Kernel MCP dans Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"kalshi-kernel": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/copyleftdev/kalshi-kernel:0.1.1"
],
"env": {
"KALSHI_API_KEY_ID": "<YOUR_KALSHI_API_KEY_ID>"
}
}
}
}Installer Kalshi Kernel MCP dans VS Code
.vscode/mcp.json
{
"servers": {
"kalshi-kernel": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/copyleftdev/kalshi-kernel:0.1.1"
],
"env": {
"KALSHI_API_KEY_ID": "<YOUR_KALSHI_API_KEY_ID>"
}
}
}
}Installer Kalshi Kernel MCP dans VS Code CLI
$ code --add-mcp '{"name":"kalshi-kernel","type":"stdio","command":"docker","args":["run","-i","--rm","ghcr.io/copyleftdev/kalshi-kernel:0.1.1"],"env":{"KALSHI_API_KEY_ID":"<YOUR_KALSHI_API_KEY_ID>"}}'Installer Kalshi Kernel MCP dans Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"kalshi-kernel": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/copyleftdev/kalshi-kernel:0.1.1"
],
"env": {
"KALSHI_API_KEY_ID": "<YOUR_KALSHI_API_KEY_ID>"
}
}
}
}Installer Kalshi Kernel MCP dans Codex
$ codex mcp add kalshi-kernel --env 'KALSHI_API_KEY_ID=<YOUR_KALSHI_API_KEY_ID>' -- docker run -i --rm ghcr.io/copyleftdev/kalshi-kernel:0.1.1Installer Kalshi Kernel MCP dans Codex config.toml
~/.codex/config.toml
[mcp_servers.kalshi-kernel] command = "docker" args = ["run", "-i", "--rm", "ghcr.io/copyleftdev/kalshi-kernel:0.1.1"] [mcp_servers.kalshi-kernel.env] KALSHI_API_KEY_ID = "<YOUR_KALSHI_API_KEY_ID>"
Installer Kalshi Kernel MCP dans Gemini CLI
$ gemini mcp add -s user -e 'KALSHI_API_KEY_ID=<YOUR_KALSHI_API_KEY_ID>' kalshi-kernel docker -- run -i --rm ghcr.io/copyleftdev/kalshi-kernel:0.1.1Installer Kalshi Kernel MCP dans Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"kalshi-kernel": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/copyleftdev/kalshi-kernel:0.1.1"
],
"env": {
"KALSHI_API_KEY_ID": "<YOUR_KALSHI_API_KEY_ID>"
}
}
}
}Outils MCP Kalshi Kernel 12
Détectés depuis le READMEkernel_statussearch_marketsget_marketget_orderbookget_candlesget_tradesget_lastarm_live_tradingget_portfolioplace_orderamend_ordercancel_order
| kernel_status | — | |
| search_markets | — | |
| get_market | — | |
| get_orderbook | — | |
| get_candles | — | |
| get_trades | — | |
| get_last | — | |
| arm_live_trading | — | |
| get_portfolio | — | |
| place_order | — | |
| amend_order | — | |
| cancel_order | — |
Configuration
KALSHI_API_KEY_IDSecretKalshi API key identifier; used only in live mode
KALSHI_KERNEL_MODEImmutable execution mode; paper is the safe default
KALSHI_LIVE_TRADING_ACKExplicit live-risk acknowledgement documented by this project
KALSHI_MAX_DAILY_NOTIONAL_DOLLARSKALSHI_MAX_DAILY_ORDERSKALSHI_MAX_ORDER_NOTIONAL_DOLLARSKALSHI_PRIVATE_KEY_PATHPath to a mounted Kalshi private key; used only in live mode
| Nom | Description | Type |
|---|---|---|
| KALSHI_API_KEY_ID | Kalshi API key identifier; used only in live mode | Secret |
| KALSHI_KERNEL_MODE | Immutable execution mode; paper is the safe default | |
| KALSHI_LIVE_TRADING_ACK | Explicit live-risk acknowledgement documented by this project | |
| KALSHI_MAX_DAILY_NOTIONAL_DOLLARS | — | |
| KALSHI_MAX_DAILY_ORDERS | — | |
| KALSHI_MAX_ORDER_NOTIONAL_DOLLARS | — | |
| KALSHI_PRIVATE_KEY_PATH | Path to a mounted Kalshi private key; used only in live mode |
Vérifications automatisées
Exécuté le 13 nov. 2026Rapport complet →A passé nos vérifications automatisées. Il ne s'agit pas d'un audit de sécurité : lisez le code et donnez au serveur l'accès le plus restreint dont il a besoin. Fonctionnement des vérifications
- Dépôt source lié et accessibleRéussi
- Licence open source (OSI)Réussi
- Commit ou version publiée au cours de l'année écouléeRéussi
- Nom du package non proche d'un package populaireNon vérifié
- L'endpoint distant utilise HTTPSNon vérifié
- Les outils destructifs sont étiquetésRéussi
- Aucune instruction cachée destinée au modèleRéussi
- Aucun avis critique dans le package ou ses dépendancesNon vérifié
README
Voir sur GitHubKalshi Kernel
An unofficial, safety-focused Model Context Protocol (MCP) server for Kalshi event contracts and perpetual markets. This is a pre-release project that is not ready for trading. The server is designed for agent harnesses such as Hermes and exposes a deliberately small tool surface generated from Kalshi's published API contracts.
Canonical publisher: CopyleftDev. Planned
source and container releases use github.com/copyleftdev/kalshi-kernel and
ghcr.io/copyleftdev/kalshi-kernel respectively.
[!CAUTION] Pre-release software that can submit real orders. Published tags are conformance-tested scaffolds; the current
mainbranch adds market-data, paper-trading, and live event-contract adapters. Configured live mode can place, amend, and cancel real orders. Review the exact commit, configuration, tests, and limits before running it with credentials; do not infer readiness from the version string.
[!IMPORTANT] This community project is not an official Kalshi product and is not affiliated with, endorsed by, sponsored by, or supported by KalshiEX LLC or its affiliates. “Kalshi” is used only to identify interoperability with Kalshi's published APIs.
The independent Kernel mark follows a conservative interpretation of Kalshi's published color, contrast, clear-space, and misuse guidance. It does not use or modify Kalshi's logo. See the visual identity usage rules.
Why this project exists
Trading APIs are broad and optimized for application developers. Agents need a narrower boundary with explicit intent, strict schemas, predictable errors, and strong separation between simulation and real-money execution. Kalshi Kernel provides that boundary while continuously testing its generated clients against the latest upstream contracts.
The design priorities are:
- paper mode by default;
- immutable execution mode for the lifetime of a process;
- explicit acknowledgement and credentials before live mode can arm;
- fixed-point strings for prices and quantities;
- strict, generated tool schemas with safety annotations;
- fail-closed behavior when a capability is unavailable;
- traceable alignment with exact OpenAPI operations and AsyncAPI channels; and
- repeatable MCP protocol, race, fuzz, and upstream-drift testing.
Current status
The table describes the current main branch, not the published v0.1.1 tag.
The additions are unreleased and the version metadata has not yet advanced.
| Area | Current behavior and limits |
|---|---|
| MCP stdio transport and generated schemas | Working |
| Public market data | Event contracts and perpetuals: search, market details, REST order-book snapshots, candles, and last quote. Public trade tape is event-contract only |
| Paper trading | In-memory balance, positions, fill journal, exact fixed-point fees, and immediate all-or-nothing fills at the current displayed touch |
| Live portfolio | Authenticated event-contract balance, positions, orders, and fills. Perpetual accounts and non-primary subaccounts are not supported |
| Live event-contract orders | Place, amend, and cancel are connected to the production API. Place/amend require process-local arming and kernel-side limits; cancel performs a resting-state check and timeout reconciliation |
| Live perpetual orders | Not implemented |
| Streaming order-book reconciliation | Not implemented; get_orderbook currently returns one public REST snapshot |
kernel_status |
Callable, but some readiness and arming fields still describe the old scaffold and must not be treated as authoritative |
| Automatic upstream specification freshness gate | Working |
| Production remote HTTPS/OAuth service | Not implemented |
| Public registry listings | Prepared, not submitted |
Treat the current branch as development software, not as a published or audited
trading integration. Some design and publication documents still describe the
v0.1.1 scaffold; compare them with the implementation before relying on a
claim. See ARCHITECTURE.md,
THREAT_MODEL.md, and the release gates in
PUBLICATION.md.
Agent-facing tools
| Tool | Class | Current behavior |
|---|---|---|
kernel_status |
Read-only | Returns mode and a readiness envelope; newly added backend and arm state are not yet reflected accurately |
search_markets |
Read-only | Searches event-contract or perpetual markets through public REST |
get_market |
Read-only | Returns authoritative metadata for one event-contract or perpetual market |
get_orderbook |
Read-only | Returns a public REST snapshot of yes/no bid levels for either product |
get_candles |
Read-only | Returns 1-, 60-, or 1440-minute event-contract or perpetual OHLC buckets |
get_trades |
Read-only | Returns one cursor-paginated page of the public event-contract trade tape |
get_last |
Read-only | Returns a compact event-contract or perpetual quote and status snapshot |
arm_live_trading |
Destructive/control | Arms or disarms live place/amend calls for this process after an exact second acknowledgement |
get_portfolio |
Read-only | Returns the local paper ledger in paper mode or the authenticated event-contract portfolio in live mode |
place_order |
Destructive/write | Simulates an immediate fill in paper mode; submits an armed, capped event-contract order in live mode |
amend_order |
Destructive/write | Paper mode has no resting orders; live mode amends an armed, resting event-contract order |
cancel_order |
Destructive/write | Paper mode has no resting orders; live mode state-checks and cancels a resting event-contract order |
Connected MCP clients also receive server-level instructions telling them to
call kernel_status first, distinguish paper from live mode, and never report
an action as successful unless its structured response contains ok: true.
Until its readiness reporting is updated, confirm live arm state from the
arm_live_trading response rather than from kernel_status.
Build and run locally
Prerequisites:
- Go 1.25.13 or newer;
- Node.js 22 only for the official MCP conformance runner; and
- a supported MCP client.
make test
make build
KALSHI_KERNEL_MODE=paper ./bin/kalshi-kernel
Paper mode is the default when KALSHI_KERNEL_MODE is unset. It intentionally
discards live credential configuration.
Hermes
Add a local stdio server to ~/.hermes/config.yaml:
mcp_servers:
kalshi-kernel:
command: "/absolute/path/to/kalshi-kernel/bin/kalshi-kernel"
env:
KALSHI_KERNEL_MODE: "paper"
Restart Hermes and call kernel_status before any other tool.
Claude Code
After building the binary:
claude mcp add --scope user --transport stdio kalshi-kernel \
--env KALSHI_KERNEL_MODE=paper -- /absolute/path/to/bin/kalshi-kernel
Then run claude mcp get kalshi-kernel or open /mcp to confirm the
connection. This local setup is separate from Anthropic's public Connectors
Directory, which requires a deployed remote server.
Other stdio clients
Use the standard MCP configuration shape:
{
"mcpServers": {
"kalshi-kernel": {
"command": "/absolute/path/to/bin/kalshi-kernel",
"env": {
"KALSHI_KERNEL_MODE": "paper"
}
}
}
}
Execution modes
Paper mode
KALSHI_KERNEL_MODE=paper ./bin/kalshi-kernel
Paper mode uses an in-memory simulated ledger and never submits an order to
Kalshi. It starts with $100.00 by default; set
KALSHI_PAPER_CASH_DOLLARS before startup to choose another balance. The
ledger, positions, idempotency records, and fill journal reset when the process
exits.
place_order fetches a fresh public order-book snapshot and supports only
immediate, all-or-nothing marketable fills. The requested price must exactly
equal the current touch and the displayed size must cover the full quantity.
The simulator uses fixed-point arithmetic, applies the published fee formula,
records a hash of the book used, and treats client_order_id as an idempotency
key. Because paper orders never rest, amend_order and cancel_order return
typed failures.
Every paper response is labeled simulated: true. Simulated fills do not
predict or guarantee live fills, liquidity, latency, slippage, fees, or
profitability.
Live mode
Live mode is deliberately difficult to enable:
KALSHI_KERNEL_MODE=live
KALSHI_API_KEY_ID=...
KALSHI_PRIVATE_KEY_PATH=/absolute/path/to/private-key.pem
KALSHI_LIVE_TRADING_ACK=I_UNDERSTAND_THIS_TRADES_REAL_MONEY
# Optional startup-only overrides; these are the defaults.
KALSHI_MAX_ORDER_NOTIONAL_DOLLARS=25.00
KALSHI_MAX_DAILY_NOTIONAL_DOLLARS=100.00
KALSHI_MAX_DAILY_ORDERS=200
Startup configuration selects immutable live mode and enables authenticated event-contract portfolio reads and cancellation. It does not authorize place/amend calls. Those calls require a second, process-local MCP action:
{
"acknowledgement": "I_UNDERSTAND_THIS_TRADES_REAL_MONEY",
"arm": true
}
Pass that object to arm_live_trading; pass the same object with arm: false
to disarm. Arming is never persisted. place_order also requires a stable,
caller-provided client_order_id. Place/amend requests are rejected before
submission when they exceed the startup-only per-order, UTC-day notional, or
UTC-day order-count limits. These counters are process-local and reset when the
process restarts.
[!WARNING]
cancel_orderis available in configured live mode without the separatearm_live_tradingstep. It verifies that the order is resting before sending the cancellation. Place/amend validate price syntax and notional limits, but the current implementation does not independently compare the requested limit price with a fresh quote. Use exchange-side limits, least-privilege credentials, human review, monitoring, and an independent emergency stop.
Live account reads and writes currently support event contracts only.
Perpetual-account operations and non-primary subaccounts are unavailable; omit
subaccount or pass 0. Network failures after a write produce reconciled or
explicitly indeterminate outcomes rather than blind retries.
Never commit credentials, private keys, or .env files. Use short-lived
credentials where available, a secrets manager in production, and an account
with only the privileges and capital required.
Specification-driven generation
The curated agent interface lives in specs/mcp-tools.yaml. It maps each MCP
tool to exact OpenAPI operation IDs and AsyncAPI channels. Administrative and
account-management endpoints are not automatically exposed merely because they
exist upstream.
Four authoritative contracts are fetched from https://docs.kalshi.com:
openapi.yaml— event-contract REST API;asyncapi.yaml— event-contract WebSocket API;perps_openapi.yaml— perpetuals REST API; andperps_asyncapi.yaml— perpetuals WebSocket API.
The fetcher pins HTTPS and the source hostname, limits response sizes, validates the expected dialect and non-empty surface, and records hashes and HTTP provenance. The upstream contract bodies are ignored by Git and fetched into a local cache as needed. Upstream-derived REST clients are also generated locally and excluded from source releases. Only the provenance lock, curated MCP overlay, and generated MCP tool boundary are versioned. Regeneration and testing happen in a temporary repository copy before a tested lock and MCP boundary can be promoted.
make upstream-test # test latest contracts without requiring snapshot parity
make upstream-check # require parity and run MCP conformance
make upstream-promote # promote only the exact artifacts that passed
Every CI run performs the strict upstream check; CI also runs daily so drift is detected even when the repository is idle.
[!WARNING] The downloaded Kalshi contract files identify at least part of the upstream material as proprietary. They are not covered by this project's Apache-2.0 license and must not be committed or redistributed. Review THIRD_PARTY_NOTICES.md before publishing generated artifacts.
Verification
make test # unit, integration, and contract alignment tests
make test-alignment # OpenAPI, AsyncAPI, and MCP overlay alignment
make check-generated # deterministic generated-code check
make test-race # concurrent calls under Go's race detector
make test-fuzz # execution-mode parser safety fuzzing
make conformance # pinned official MCP protocol scenarios
make release-test # complete local release gate
make public-check # vulnerability, metadata, and public-readiness gate
make upstream-check # latest Kalshi contracts plus conformance
The suite checks transport security, authentication contracts, mutation security, operation-ID uniqueness, fixed-point types, curated surface area, required-field parity, strict JSON Schemas, tool titles and safety hints, fail-closed behavior, concurrency, and Streamable HTTP negotiation.
Distribution and registries
The repository contains publication metadata for the official MCP Registry and submission dossiers for the OpenAI Plugins Directory and Anthropic directories. Metadata is preparation—not evidence of approval, endorsement, or publication.
Anthropic's current connector review criteria do not accept connectors that transfer money or other financial assets. Any Claude Connectors Directory build of this project must therefore be a distinct read-only and/or paper-only artifact with live order tools omitted, subject to Anthropic's review.
See PUBLICATION.md for the exact channel matrix, current blockers, release steps, listing copy, and review test cases. No external registry submission is performed automatically.
Contributing and security
Read CONTRIBUTING.md before opening a pull request. Report vulnerabilities privately according to SECURITY.md; do not open a public issue for a suspected credential leak or trading-safety vulnerability. General usage help belongs in SUPPORT.md.
Legal and risk notice
This software is provided for development and research. It does not provide investment, financial, legal, tax, compliance, or trading advice. Event contracts and leveraged products can result in rapid and substantial loss, including loss of the entire amount committed. You are responsible for account eligibility, jurisdictional restrictions, exchange rules, regulatory requirements, taxes, strategy, orders, and losses.
AI systems and software can misunderstand intent, produce incorrect parameters, repeat requests, or behave unexpectedly. Human review, exchange-side risk limits, least-privilege credentials, monitoring, and an independent emergency stop are required before any live deployment.
Read the full DISCLAIMER.md, PRIVACY.md, and SECURITY.md. The project is licensed under Apache License 2.0; third-party material is excluded as described in THIRD_PARTY_NOTICES.md.
Questions sur Kalshi Kernel MCP
Comment ajouter Kalshi Kernel MCP à Claude Code ?
Exécutez claude mcp add --env 'KALSHI_API_KEY_ID=<YOUR_KALSHI_API_KEY_ID>' kalshi-kernel -- docker run -i --rm ghcr.io/copyleftdev/kalshi-kernel:0.1.1 dans votre terminal. Ajoutez --scope user pour le rendre disponible dans tous les projets.
Comment ajouter Kalshi Kernel MCP à Cursor ?
Ouvrez ~/.cursor/mcp.json et ajoutez le serveur sous mcpServers, avec la configuration Cursor indiquée dans la section d'installation ci-dessus.
Quels outils Kalshi Kernel MCP fournit-il ?
Il expose 12 outils, dont kernel_status, search_markets, get_market, get_orderbook, get_candles.
Ce serveur est-il prêt pour le trading en direct ?
Non, il s'agit d'un projet en pré-version qui n'est pas prêt pour le trading. La branche principale actuelle ajoute des adaptateurs en direct, mais les utilisateurs doivent le considérer comme un logiciel en développement.
Comment fonctionne le mode paper ?
Le mode paper utilise un registre simulé en mémoire qui commence par défaut avec 100,00 $ et se réinitialise à la fermeture du processus.
Puis-je trader des marchés perpétuels en mode live ?
Non, les lectures et écritures de comptes en direct ne prennent actuellement en charge que les contrats d'événements ; les opérations de compte perpétuel ne sont pas disponibles.