Wafergraph MCP for LangChain
com.wafergraph/wafergraph-mcp
Read-only MCP server for wafergraph.com's semiconductor & AI supply-chain data: 30 tools, no auth.
client:LangChain
transport:streamable-http
tools:30
Install Wafergraph MCP in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"wafergraph-mcp": {
"transport": "streamable_http",
"url": "https://wafergraph-mcp.jwpalm99.workers.dev/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_companies
- get_company
- get_segments
- get_supply_chain
- get_deals
- compare_companies
- get_country_exposure
- find_chokepoints
- analyze_portfolio_exposure
- filter_companies
- list_subsegments
- get_subsegment
- find_similar_companies
- rank_by_market_cap
- resolve_ticker
- list_countries
- get_country_profile
- compare_countries
- get_segment_leaders
- get_upstream_concentration
- find_paths_between
- simulate_disruption
- find_single_source_dependencies
- rank_by_connectivity