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PopNx MCPMCP servers for people who use AI · explained in plain words

Kalshi

by yakub268version 0.1.1i★ 1iRuns on your computer
Registry nameio.github.yakub268/kalshi

How to install

What it does

Search, analyze, and trade Kalshi prediction markets through Claude Desktop

  • Connects Runs on your computer
  • Account or key Needs KALSHI_API_KEY · 1 setting to fill in (KALSHI_PRIVATE_KEY_PATH)
  • Category Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

You need a Kalshi key (create it on the maker’s site) · 1 setting(s) to fill in (KALSHI_PRIVATE_KEY_PATH) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Sign up and create a Kalshi key

    Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.

    How to get a key is in the maker’s README below

  3. Fill in 1 setting(s)

    These are program settings, not keys. No sign-up needed; fill them in as the maker describes.

    • KALSHI_PRIVATE_KEY_PATH Path to your Kalshi RSA private key file (.pem)

    Descriptions are as written by the maker.

  4. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  5. Paste these settings and save the file

    {
      "mcpServers": {
        "kalshi": {
          "command": "uvx",
          "args": [
            "kalshi-mcp"
          ],
          "env": {
            "KALSHI_API_KEY": "your-value",
            "KALSHI_PRIVATE_KEY_PATH": "your-value"
          }
        }
      }
    }

    Paste the key only into the app’s field, never into a chat or to anyone

  6. Quit Claude and open it again

  7. Try it

    Use Kalshi and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Kalshi or shows a Kalshi tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Kalshi yet

Kalshi runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Kalshi

  • You need a Kalshi key (create it on the maker’s site) · 1 setting(s) to fill in (KALSHI_PRIVATE_KEY_PATH) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • You need a Kalshi key (create it on the maker’s site) · 1 setting(s) to fill in (KALSHI_PRIVATE_KEY_PATH) · Install Python (uv) on your computer first (one time)
  • You need a Kalshi key (create it on the maker’s site) · 1 setting(s) to fill in (KALSHI_PRIVATE_KEY_PATH) · Install Python (uv) on your computer first (one time)
  • You need a Kalshi key (create it on the maker’s site) · 1 setting(s) to fill in (KALSHI_PRIVATE_KEY_PATH) · Install Python (uv) on your computer first (one time)

B · Others in Search & AI memory that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

You need a Kalshi key (create it on the maker’s site) · 1 setting(s) to fill in (KALSHI_PRIVATE_KEY_PATH) · Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Sign up and create a Kalshi key

    Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.

    How to get a key is in the maker’s README below

  3. Fill in 1 setting(s)

    These are program settings, not keys. No sign-up needed; fill them in as the maker describes.

    • KALSHI_PRIVATE_KEY_PATH Path to your Kalshi RSA private key file (.pem)

    Descriptions are as written by the maker.

  4. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  5. Paste this command and press Enter

    claude mcp add --scope user kalshi --env KALSHI_API_KEY=your-value --env KALSHI_PRIVATE_KEY_PATH=your-value -- uvx kalshi-mcp

    Replace “your-value” with your key before pressing Enter

    Paste the key only into the app’s field, never into a chat or to anyone

  6. Type /mcp in Claude Code

    You should see Kalshi listed as connected

  7. Try it

    Use Kalshi and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using Kalshi or shows a Kalshi tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

You need a Kalshi key (create it on the maker’s site) · 1 setting(s) to fill in (KALSHI_PRIVATE_KEY_PATH) · Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Sign up and create a Kalshi key

    Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.

    How to get a key is in the maker’s README below

  3. Fill in 1 setting(s)

    These are program settings, not keys. No sign-up needed; fill them in as the maker describes.

    • KALSHI_PRIVATE_KEY_PATH Path to your Kalshi RSA private key file (.pem)

    Descriptions are as written by the maker.

  4. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  5. Fill in your key

    In the Kalshi settings, KALSHI_API_KEY, KALSHI_PRIVATE_KEY_PATH is empty; add your key and save

    Paste the key only into the app’s field, never into a chat or to anyone

  6. Open the AI chat in Cursor in Agent mode

  7. Try it

    Use Kalshi and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using Kalshi or shows a Kalshi tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

You need a Kalshi key (create it on the maker’s site) · 1 setting(s) to fill in (KALSHI_PRIVATE_KEY_PATH) · Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Sign up and create a Kalshi key

    Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.

    How to get a key is in the maker’s README below

  3. Fill in 1 setting(s)

    These are program settings, not keys. No sign-up needed; fill them in as the maker describes.

    • KALSHI_PRIVATE_KEY_PATH Path to your Kalshi RSA private key file (.pem)

    Descriptions are as written by the maker.

  4. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  5. Fill in your key

    In the Kalshi settings, KALSHI_API_KEY, KALSHI_PRIVATE_KEY_PATH is empty; add your key and save

    Paste the key only into the app’s field, never into a chat or to anyone

  6. Open the AI chat in VS Code in Agent mode

  7. Try it

    Use Kalshi and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using Kalshi or shows a Kalshi tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Kalshi💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user kalshi --env KALSHI_API_KEY=your-value --env KALSHI_PRIVATE_KEY_PATH=your-value -- uvx kalshi-mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "kalshi": {
      "command": "uvx",
      "args": [
        "kalshi-mcp"
      ],
      "env": {
        "KALSHI_API_KEY": "your-value",
        "KALSHI_PRIVATE_KEY_PATH": "your-value"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "kalshi": {
      "command": "uvx",
      "args": [
        "kalshi-mcp"
      ],
      "env": {
        "KALSHI_API_KEY": "your-value",
        "KALSHI_PRIVATE_KEY_PATH": "your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "kalshi": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "kalshi-mcp"
      ],
      "env": {
        "KALSHI_API_KEY": "your-value",
        "KALSHI_PRIVATE_KEY_PATH": "your-value"
      }
    }
  }
}

Values you fill in

  • KALSHI_API_KEY secret required env
    Your Kalshi API key ID
  • KALSHI_PRIVATE_KEY_PATH required env
    Path to your Kalshi RSA private key file (.pem)

Descriptions are as written by the maker.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
21/wk
Connection
Runs on your computer
Latest versioni
0.1.1
Published to registryi
Feb 21, 2026
Code last changedi
Oct 23, 2026
Maker
yakub268
Packages
pypi: kalshi-mcp
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 14, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account yakub268, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 22 days ago

  • ✓ Pass

    Has a licence

    Uses MIT

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

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Posts here are written by users, not the PopNx team.

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User reviews

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Compared with others in Search & AI memoryi

  • More stars than 76% of the other 6128 servers in this category
  • Published to the registry more recently than 3% of the other 6128 servers in this category
  • Basic checks equal to or better than 100% of the other 6128 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Kalshi safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: KALSHI_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 22 days ago, and the latest version (0.1.1) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, OpenSEO

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 1.2M/wk★ 64.8KUpdated 2 days ago

Computer or cloud

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 16.8K/wk★ 48.6KUpdated 28 days ago

Runs on your computer

OpenSEO

Keyword research, site audits, rank tracking and AI visibility for your AI agent.

by every-appWidely used★ 27.6KUpdated today

Runs in the cloud✓ everyapp.com

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Kalshi MCP Server

mcp-name: io.github.yakub268/kalshi

Model Context Protocol server for Kalshi prediction markets. Search, analyze, and trade prediction markets directly through Claude Desktop.

Built with production-grade authentication and rate limiting from a live trading system with 4+ months of uptime.

Features

Tools (6)
  • `search_markets` - Search by keyword, get prices/volume
  • `get_market_details` - Full market info + orderbook depth
  • `get_portfolio` - Account balance + open positions
  • `get_trending_markets` - Top markets by 24h volume
  • `place_order` - Execute limit orders
  • `get_series_markets` - All markets in a series (e.g., Fed events)
Resources (2)
  • `kalshi://balance` - Current account balance
  • `kalshi://positions` - Open positions list

Installation

Prerequisites
  1. Kalshi API credentials: Get from kalshi.com/profile/api-keys
  • Download your API key ID
  • Download the RSA private key (.pem file)
  1. Python 3.10+
Quick Install (PyPI)
pip install kalshi-mcp
From Source
# Clone repository

git clone https://github.com/yakub268/kalshi-mcp.git cd kalshi-mcp

Install dependencies

pip install -e .

Claude Desktop Configuration

Add to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{

"mcpServers": { "kalshi": { "command": "python", "args": ["-m", "kalshi_mcp"], "env": { "KALSHI_API_KEY": "your-api-key-here", "KALSHI_PRIVATE_KEY_PATH": "C:\\Users\\YourName\\.trading_keys\\kalshi_private_key.pem" } } } }

Note:

  • Replace your-api-key-here with your actual Kalshi API key
  • Update the private key path to where you saved your .pem file
  • On Windows, use double backslashes (\\) in paths
Test the Connection

Restart Claude Desktop, then try:

What's my Kalshi balance?

or

Search for bitcoin prediction markets

Usage Examples

Search for Markets
Search for markets about the Federal Reserve
Get Market Analysis
Show me details for ticker KXFED-26MAR19-B5.25
Check Portfolio
What's my current Kalshi portfolio?
Place an Order
Buy 10 contracts of KXHIGHNYC-26FEB20-B34.5 YES at 25 cents

Authentication

This server uses RSA-PSS signature authentication:

  1. Each request is signed with your private key
  2. Kalshi verifies the signature with your public key
  3. Thread-safe rate limiting (150ms between requests)
  4. Automatic retry on 429 rate limit errors

Security: Your private key never leaves your machine. The server only signs requests locally.

Rate Limiting

  • Built-in 150ms spacing between requests (~6.6 req/s)
  • Automatic exponential backoff on 429 errors (0.5s → 1s → 2s)
  • Safe for concurrent use across multiple Claude conversations

Architecture

Built on production code from a live Kalshi trading bot:

  • Authentication: Reused from kalshi_client.py (4+ months uptime)
  • Rate limiting: Shared across all client instances
  • Error handling: Battle-tested retry logic
  • Market discovery: Liquidity scoring from scanner.py

Contributing

Issues and PRs welcome! This is an open-source project built to fill a gap in the MCP ecosystem.

License

MIT License - see LICENSE file

Acknowledgments


Questions? Open an issue or reach out on GitHub.