Worldcastr Remote MCP for LangChain
io.github.dhardestylewis/worldcastr-remote
Built-environment forecasts, public benchmarks, and permit or zoning readiness through remote MCP.
client:LangChain
transport:streamable-http
tools:44
Install Worldcastr Remote MCP in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"worldcastr-remote": {
"transport": "streamable_http",
"url": "https://worldcastr.com/api/mcp/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
- forecast_by_address
- forecast_by_parcel
- forecast_by_tabblock
- forecast_by_tract
- forecast_by_zcta
- forecast_by_unit
- forecast_by_county
- forecast_by_state
- forecast_by_zip3
- forecast_by_h3_cell
- get_permit_zoning_readiness
- get_census_bps_county_monthly
- get_fast41_projects
- get_epa_echo_npdes_sewer_overflows
- get_epa_echo_npdes_outfalls
- get_epa_echo_npdes_sewer_overflow_history
- get_epa_echo_npdes_violations
- list_benchmark_datasets
- get_benchmark_dataset
- get_public_forecast_vintage
- get_backtest_scores
- list_data_assets
- get_data_asset
- list_data_sources