HyperSignal MCP for LangChain
io.github.johnsmithxy1mmm-sys/hypersignal-mcp
Hyperliquid analytics for AI agents: whale flow, liquidations, funding, risk, signed signals.
client:LangChain
transport:streamable-http
runtime:npm
tools:30
Install HyperSignal MCP in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"hypersignal-mcp": {
"transport": "streamable_http",
"url": "https://hypersmash.fly.dev/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
- hl_request_free_key
- hl_buy_pro
- hl_get_markets
- hl_get_orderbook
- hl_get_candles
- hl_get_funding_history
- hl_get_account
- hl_get_open_orders
- hl_signal_pubkey
- hl_link_telegram
- hl_unlink_telegram
- hl_set_webhook
- hl_delete_webhook
- hl_score_calibration
- hl_whale_positions
- hl_whale_flow_alerts
- hl_liquidation_map
- hl_funding_screener
- hl_hip3_analytics
- hl_portfolio_risk
- hl_vault_screener
- hl_trader_report
- hl_create_alert
- hl_list_alerts