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MCP server for Kalshi prediction markets: native RSA-PSS auth, rate limiting, demo/prod safety.
Kalshi Prediction Markets 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 67/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。 在将 Kalshi Prediction Markets 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
uvx kalshi-mcp-server==0.1.8运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-05-31T19:06:33.817211Z",
"publishedAt": "2026-05-31T19:06:33.817211Z",
"statusChangedAt": "2026-05-31T19:06:33.817211Z"
}
},
"server": {
"name": "io.github.cejor6/kalshi-mcp-server",
"title": "Kalshi Prediction Markets",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.8",
"packages": [
{
"version": "0.1.8",
"transport": {
"type": "stdio"
},
"identifier": "kalshi-mcp-server",
"registryType": "pypi",
"environmentVariables": [
{
"name": "KALSHI_API_KEY_ID",
"format": "string",
"isRequired": true,
"description": "Kalshi API key ID from https://kalshi.com/account/profile"
},
{
"name": "KALSHI_PRIVATE_KEY_PATH",
"format": "string",
"description": "Filesystem path to the RSA private key PEM. Set this or KALSHI_PRIVATE_KEY_PEM."
},
{
"name": "KALSHI_PRIVATE_KEY_PEM",
"format": "string",
"isSecret": true,
"description": "Inline PEM contents, for hosted deploys without filesystem access."
},
{
"name": "KALSHI_ENV",
"format": "string",
"description": "demo or prod. Defaults to demo for safety."
},
{
"name": "KALSHI_ALLOW_PROD",
"format": "string",
"description": "Must be 1 for the server to start with KALSHI_ENV=prod. Defaults to 0."
},
{
"name": "KALSHI_TRADING_ENABLED",
"format": "string",
"description": "Must be 1 for order-placement tools to operate. Read-only by default (0)."
}
]
},
{
"transport": {
"type": "stdio"
},
"identifier": "ghcr.io/cejor6/kalshi-mcp-server:0.1.8",
"registryType": "oci",
"environmentVariables": [
{
"name": "KALSHI_API_KEY_ID",
"format": "string",
"isRequired": true,
"description": "Kalshi API key ID from https://kalshi.com/account/profile"
},
{
"name": "KALSHI_PRIVATE_KEY_PEM",
"format": "string",
"isSecret": true,
"description": "Inline PEM contents, for hosted deploys without filesystem access."
},
{
"name": "KALSHI_ENV",
"format": "string",
"description": "demo or prod. Defaults to demo for safety."
},
{
"name": "KALSHI_ALLOW_PROD",
"format": "string",
"description": "Must be 1 for the server to start with KALSHI_ENV=prod. Defaults to 0."
},
{
"name": "KALSHI_TRADING_ENABLED",
"format": "string",
"description": "Must be 1 for order-placement tools to operate. Read-only by default (0)."
}
]
}
],
"repository": {
"url": "https://github.com/cejor6/kalshi-mcp-server",
"source": "github"
},
"description": "MCP server for Kalshi prediction markets: native RSA-PSS auth, rate limiting, demo/prod safety."
}
}