mcp for LangChain
xyz.mindjack/mcp
Solana memecoin rug check for trading agents: pump.fun launches, calibrated rug risk, wallets, KOL.
client:LangChain
transport:streamable-http
runtime:npm
tools:26
Install mcp in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp": {
"transport": "streamable_http",
"url": "https://api.mindjack.xyz/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
- check_token
- inspect_token
- token_report
- token_identity
- find_tokens
- check_wallet
- can_i_exit
- token_changes
- token_price_path
- find_serial_insiders
- compare_tokens
- test_hypothesis
- get_scorecard
- get_sample
- token_graph
- token_wallets
- token_web
- wallet_network
- kol_leaderboard
- kol_record
- funder_networks
- search_tokens
- search
- fetch