# Polymarket MCP Server — Live Data 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, Business - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 " } } } } ```` 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. # 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." } ``` # 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 '' with your token const client = new ApifyClient({ 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 '' with your token. client = ApifyClient("") # 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("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).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": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mrlarryjohnson/polymarket-mcp-server", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Polymarket MCP Server — Live Data Tools for AI Agents", "description": "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.", "version": "0.1", "x-build-id": "8UCT3WjHdwquJGQDh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mrlarryjohnson~polymarket-mcp-server/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mrlarryjohnson-polymarket-mcp-server", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mrlarryjohnson~polymarket-mcp-server/runs": { "post": { "operationId": "runs-sync-mrlarryjohnson-polymarket-mcp-server", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mrlarryjohnson~polymarket-mcp-server/run-sync": { "post": { "operationId": "run-sync-mrlarryjohnson-polymarket-mcp-server", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "note": { "title": "Note", "type": "string", "description": "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.", "default": "See README for MCP connection instructions." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```