Bellchain
Crypto alert chains in your AI assistant: check alerts, test ideas with the replay, build chains.
Description from the maker (original English)
Search Kalshi, Polymarket and Limitless markets, order book history, coverage and data files.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
KALSHIEYE_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"kalshieye": {
"command": "uvx",
"args": [
"kalshieye-mcp"
],
"env": {
"KALSHIEYE_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add kalshieye --env KALSHIEYE_API_KEY=your-value -- uvx kalshieye-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"kalshieye": {
"command": "uvx",
"args": [
"kalshieye-mcp"
],
"env": {
"KALSHIEYE_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"kalshieye": {
"type": "stdio",
"command": "uvx",
"args": [
"kalshieye-mcp"
],
"env": {
"KALSHIEYE_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 7, 2026
The registry name was verified with the GitHub account KalshiEye, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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.
You need to fill in: KALSHIEYE_API_KEY
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).
The GitHub repo last changed –, and the latest version (0.2.2) reached the registry 10 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Bellchain, Quidli Connect, Diamond Bitcoin Intelligence
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Crypto alert chains in your AI assistant: check alerts, test ideas with the replay, build chains.
Resolve social handles to wallets, score onchain reputation, pay in any ERC-20, SPL or native.
Bitcoin MCP: fee budgets, retained-block inclusion proofs and risk checks. Free service discovery.
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.
An MCP server that lets AI assistants such as Claude and Cursor search the Kalshi Eye archive of prediction market data. It can find Kalshi, Polymarket and Limitless markets, show how a market's price moved, check what was recorded, and list the order book files you can download.
It needs a Kalshi Eye API key: create one at API keys (a free account works) and set it as KALSHIEYE_API_KEY.
Claude Code:
claude mcp add kalshieye -e KALSHIEYE_API_KEY=clab_your_key -- uvx kalshieye-mcp
Claude Desktop, Cursor and other clients (claude_desktop_config.json, .cursor/mcp.json, ...):
{
"mcpServers": { "kalshieye": { "command": "uvx", "args": ["kalshieye-mcp"], "env": { "KALSHIEYE_API_KEY": "clab_your_key" } } } }
Without a key, or with a placeholder, every tool answers with how to get one. Listing files and download links cover the datasets your plan includes.
uvx comes with uv. With pip instead: pip install kalshieye-mcp, then use kalshieye-mcp as the command.
| Tool | What it does |
|---|---|
search | Find series, events and markets by keyword, venue, category or status. Series lead and come a page at a time (series_total, has_more, offset); events and markets are the 10 best whose words hold the query, with events_found / markets_found (exact up to 10,000, then *_found_exact: false) and more_events / more_markets, the paged calls that list every match |
get_series | One series: what it is, how often it runs, markets in the catalog, and days of data files |
list_markets | A series' markets, or the markets on every venue holding each word of q (venue narrows it), newest first, with status and result. A page at a time: total (with q, exact up to 10,000, then total_exact: false), and next_cursor (with q) or next_offset, passed back until it is null |
list_events | Every event on every venue whose title, series name or category holds each word of the query, newest first, a page at a time (next_cursor), with total and total_exact |
get_market | One market's terms, status, result, and how much of it was recorded |
market_price_history | The recorded YES bid/ask path, up to about 240 points over the market's busiest stretch; path_source is life, busiest or window |
list_datasets | Every dataset: what it holds, columns, plan, days available |
dataset_series | Which series have files in a dataset, with days, rows and size, up to 500 a page with total and next_offset |
recording_status | Whether recording is running, and the recorded share of recent days by venue |
list_files | Daily Parquet files for a dataset, date range and series, page by page |
download_links | Signed download URLs for up to 100 of those files (counts toward the monthly allowance) |
Things to ask:
kalshieye.KALSHIEYE_BASE_URL points the server at another deployment (default https://kalshieye.com).Kalshi Eye is independent and is not affiliated with Kalshi, Polymarket or Limitless. MIT licensed.