Appraisily for LangChain
com.appraisily/mcp
Check past auction prices in ChatGPT, plus appraisal prep and sample reports.
client:LangChain
transport:streamable-http
tools:17
Install Appraisily in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp": {
"transport": "streamable_http",
"url": "https://mcp.appraisily.com/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
- search
- fetch
- get_public_sample_report
- create_appraisal_start_link
- search_auction_comparables
- search_artists
- get_artist
- search_silver_hallmarks
- get_silver_hallmark
- prepare_pro_screener_case_packet
- create_pro_screener_workspace_link
- search_pro_screener_comparables
- start_pro_screener_run
- start_promotional_pro_screener_run
- get_pro_screener_status
- get_pro_screener_result
- get_pro_screener_pdf