Kalshi Prediction Markets

MCP server for Kalshi prediction markets: native RSA-PSS auth, rate limiting, demo/prod safety.

What does this entry provide?

Kalshi Prediction Markets is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Kalshi Prediction Markets to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 67/100
Install method: pypi
Repo: cejor6/kalshi-mcp-server
Repo updated: May 31, 2026

Install command

uvx kalshi-mcp-server==0.1.8

Install method: pypi

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

May 31, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_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."
  }
}

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