# Kalshi MCP

> Kalshi MCP — com-kalshi-mcp-kalshi. Use this tool when you need to automate trading on Kalshi prediction markets, solving problems of manual trade placement and market research. It takes API keys as input and outputs executed trades, streamlining the process of buying and selling contracts. Ideal for users who want to leverage Kalshi's markets with customized, algorithmic trading strategies.

Canonical page: https://skillsregistry.net/skills/com-kalshi-mcp-kalshi  
JSON: https://api.skillsregistry.net/v1/skills/com-kalshi-mcp-kalshi

## Description

Research Kalshi prediction markets and place trades you approve, on your own API keys.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.kalshi-mcp%2Fkalshi)

## Use it

MCP endpoint published by the skill: `https://kalshi-mcp.com/api/mcp`

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": "com-kalshi-mcp-kalshi"
    }
  }
}
```

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