Avineon for LangChain
solutions.avineon/mcp
AI-ready data with FME and Esri: MCP, AI extraction, FME transformers, Flow Hosted costs, training
client:LangChain
transport:streamable-http
tools:15
Install Avineon in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp": {
"transport": "streamable_http",
"url": "https://agents.avineon.solutions/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
- get_company_overview
- list_services
- get_page
- search_site
- search_case_studies
- get_contact_info
- list_events
- search_fme_transformers
- get_transformer_details
- list_transformer_categories
- find_transformers_for_task
- find_fme_training
- recommend_fme_licence
- get_fme_licensing_overview
- estimate_fme_flow_hosted_cost