AgentServices for LangChain
to.agentservices/agentservices
52 paid x402 API endpoints for AI agents — crypto, data, DeFi, market intelligence.
client:LangChain
transport:streamable-http
tools:64
Install AgentServices in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"agentservices": {
"transport": "streamable_http",
"url": "https://agentservices.to/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
- crypto_prices
- technical_indicators
- defi_yields
- fear_greed
- ip_geolocation
- url_metadata
- web_search
- resolve_dispute
- list_policies
- marketing_sentiment
- marketing_trends
- marketing_ad_copy
- whale_tracking
- exchange_flows
- correlation_matrix
- defi_tvl
- stablecoin_flows
- github_velocity
- agent_context
- macro_indicators
- llm_inference
- token_risk
- crypto_signals
- stock_quote