# MCP Server Kalshi

> Use this tool when you need to interact with the Kalshi prediction market platform, enabling trading and market operations through a secure REST API with RSA key authentication. It solves problems related to automating trades, retrieving market data, and managing accounts on the Kalshi platform. Ideal for use cases requiring programmatic access to prediction markets, such as algorithmic trading or data analysis, in both production and demo environments.

Canonical page: https://skillsregistry.net/skills/9crusher-mcp-server-kalshi  
JSON: https://api.skillsregistry.net/v1/skills/9crusher-mcp-server-kalshi

## Description

Enables interaction with the Kalshi prediction market platform through their REST API. Supports trading and market operations with secure RSA key authentication for both production and demo environments.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vgym13f776)
- **Repository:** <https://github.com/9crusher/mcp-server-kalshi>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "9crusher-mcp-server-kalshi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/9crusher-mcp-server-kalshi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/9crusher-mcp-server-kalshi/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt