# Polymarket MCP Server: Live Market Tools for AI Agents (`mrlarryjohnson/polymarket-mcp-server`) Actor

MCP server for AI agents (Claude, Cursor, n8n, Make): search Polymarket markets, live prices, insider-scored whale trades, trader leaderboards, wallet P\&L. Pay per tool call, no API keys.

- **URL**: https://apify.com/mrlarryjohnson/polymarket-mcp-server.md
- **Developed by:** [Larry Johnson](https://apify.com/mrlarryjohnson) (community)
- **Categories:** AI, MCP servers, Agents
- **Stats:** 4 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 tool calls

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Polymarket MCP Server — Live Prediction-Market Data for AI Agents

Give your AI agent **live Polymarket data as native tools**: search markets, pull real-time prices, stream insider-scored whale trades, rank top traders, and audit any wallet's P\&L — over **MCP** (Model Context Protocol), the standard supported by Claude, Cursor, n8n, Make, and every major agent framework. Pay per tool call, no API keys, no wallet.

### Tools your agent gets

| Tool | What it returns |
|---|---|
| `search_markets(query, limit)` | Active markets matching a text query, volume-ranked, with live yes-price and URL |
| `get_market(slug)` | Live prices, 24h volume, liquidity, end date for one market |
| `whale_trades(min_usd, limit)` | Recent large trades with **0–100 insider scores** and on-chain tx hashes |
| `top_traders(category, window, order_by, limit)` | Trader leaderboard — 10 categories × 4 time windows, by P\&L or volume |
| `wallet_profile(wallet)` | Open positions, portfolio value, open P\&L, activity stats for any wallet |

### Connect (Claude Desktop / any MCP client)

```json
{
  "mcpServers": {
    "polymarket": {
      "url": "https://mrlarryjohnson--polymarket-mcp-server.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer <your Apify API token>"
      }
    }
  }
}
```

Get a free Apify token at console.apify.com → Settings → API & Integrations. The server runs in Apify Standby mode (always warm — no cold starts) and bills your Apify account per tool call.

Example prompts once connected:

- *"What are the biggest whale trades on Polymarket in the last hour? Anything with an insider score over 60?"*
- *"Search Polymarket for Fed rate markets and compare the prices."*
- *"Profile wallet 0xd104… — what are they holding and are they actually profitable?"*

### Why this server

- **Insider scoring, not raw feeds.** Whale trades are scored 0–100 with heuristics from a private prediction-market trading engine (conviction longshots, niche-market concentration, late-certainty sweeps).
- **Every record is verifiable** — on-chain tx hashes, links back to polymarket.com. No black-box numbers.
- **Billing integrity:** one billed event per *successful* tool call. Failed calls are never charged, and a rate-limited upstream call fails loudly instead of returning fabricated empty data.
- **Always warm** — Standby mode means your agent isn't waiting on container cold-starts.

### FAQ

- **Do I need Polymarket credentials?** No — public Polymarket endpoints only. You only need a (free) Apify account token to connect.
- **Which clients work?** Anything speaking MCP streamable-HTTP: Claude Desktop/claude.ai, Cursor, Windsurf, n8n, Make, LangChain/LlamaIndex MCP adapters.
- **Can I also run it as a normal Actor?** A normal run just outputs the connection info — the product is the MCP endpoint.
- **Is this financial advice?** No. Informational data only.

### Changelog

- **0.1** — initial release: 5 tools, standby MCP streamable-HTTP, per-tool-call billing.

### More tools by this maker

| Tool | What it does |
|---|---|
| [Polymarket Whale Tracker Pro](https://apify.com/mrlarryjohnson/polymarket-whale-tracker-pro) | Insider-scored large trades, top holders, wallet P\&L |
| [Polymarket Top Traders](https://apify.com/mrlarryjohnson/polymarket-top-traders) | Leaderboards with cross-window consistency + verified P\&L |
| [Polymarket MCP Server](https://apify.com/mrlarryjohnson/polymarket-mcp-server) | The same live data as native AI-agent tools (MCP) |
| [Hyperliquid Whale Tracker](https://apify.com/mrlarryjohnson/hyperliquid-whale-tracker) | Scored perp trades w/ counterparty addresses, funding/OI, wallet PnL |
| [Web Search MCP Server](https://apify.com/mrlarryjohnson/web-search-mcp-server) | Multi-engine web/news search + instant answers for AI agents |

Same engineering rules everywhere: fail-loud data integrity, dedup-before-billing, errors never billed.

# Actor input Schema

## `note` (type: `string`):

This Actor is an MCP server and runs in Standby mode — connect your AI agent to its MCP URL (see README). Running it normally just outputs the connection info.

## Actor input object example

```json
{
  "note": "See README for MCP connection instructions."
}
```

# Actor output Schema

## `mcpServer` (type: `string`):

Streamable-HTTP MCP endpoint served by this run (Standby mode).

## `results` (type: `string`):

Connection/config records pushed by non-standby runs.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("mrlarryjohnson/polymarket-mcp-server").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("mrlarryjohnson/polymarket-mcp-server").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call mrlarryjohnson/polymarket-mcp-server --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mrlarryjohnson/polymarket-mcp-server"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Jgcz5qOhCE8LUzqJb/builds/etKro2o9QLad8HRID/openapi.json