Aetherya for LangChain
ai.aetherya/mcp
Test decisions on a synthetic audience: studies, site audits, copy tests and post simulations.
client:LangChain
transport:streamable-http
runtime:npm
tools:27
Install Aetherya in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp": {
"transport": "streamable_http",
"url": "https://mcp.aetherya.ai/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
- aetherya_list_capabilities
- aetherya_estimate
- aetherya_plan_study
- aetherya_confirm_study
- aetherya_read
- aetherya_run_study
- aetherya_test_copy
- aetherya_audit_site
- aetherya_test_flow
- aetherya_ask_audience
- aetherya_simulate_post
- aetherya_cancel
- aetherya_list_runs
- aetherya_get_result
- aetherya_get_audit_result
- aetherya_get_brief
- aetherya_share_result
- aetherya_pretest_report
- aetherya_compare_creatives
- aetherya_pretest_video
- aetherya_seal_prediction
- aetherya_verify_prediction
- aetherya_record_outcome
- aetherya_create_intake_link