agentery for LangChain
com.agentery/agentery
Price benchmarks, alternatives & daily price history across 17,000+ AI agents and MCP servers.
client:LangChain
transport:streamable-http
tools:19
Install agentery in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"agentery": {
"transport": "streamable_http",
"url": "https://agentery.com/api/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
- research_capability
- search_providers
- find_market
- compare_providers
- get_price_index
- price_benchmark
- get_price_index_history
- market_gaps
- suggest_alternatives
- demand_signals
- report_outcome
- rank_providers_for_workflow
- get_provider_profile
- get_provider
- market_report
- create_custom_benchmark
- get_custom_benchmark
- update_custom_benchmark
- delete_custom_benchmark