Polyrank for LangChain
io.github.polyrank/polyrank-mcp
Polymarket trader analytics for AI agents: rank wallets, read trader metrics, backtest strategies.
client:LangChain
transport:streamable-http
runtime:npm
tools:36
Install Polyrank in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"polyrank-mcp": {
"transport": "streamable_http",
"url": "https://mcp.polyrank.app/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- polyrank_get_leaderboard
- polyrank_get_trader_skill
- polyrank_get_trader_calibration
- polyrank_get_market_consensus
- polyrank_get_pulse
- polyrank_get_platform_stats
- polyrank_get_top_roi_trades
- polyrank_get_movers
- polyrank_get_smart_money_reports
- polyrank_get_smart_money_report
- polyrank_get_trader_by_tid
- polyrank_get_trader_calibration_by_tid
- polyrank_get_custom_ranking
- polyrank_get_traders_batch
- polyrank_get_metrics_catalog
- polyrank_get_metric_windows
- polyrank_list_ranking_templates
- polyrank_resolve_tid
- polyrank_rank_wallets
- polyrank_get_trader_metrics
- polyrank_list_lab_templates
- polyrank_get_backtest
- polyrank_get_paper_run
- polyrank_list_strategies