FDA Data MCP for LangChain
io.github.medley/fda-data
Clean FDA regulatory data: company resolution, facilities, recalls, inspections, approvals.
client:LangChain
transport:streamable-http
tools:48
Install FDA Data MCP in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"fda-data": {
"transport": "streamable_http",
"url": "https://www.regdatalab.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
- fda_lookup_company
- fda_search_facilities
- fda_search_family_facilities
- fda_get_facility
- fda_facility_dossier
- fda_facility_products
- fda_search_enforcement
- fda_search_recall_text
- fda_resolve_company
- fda_save_aliases
- fda_link_subsidiaries
- fda_suggest_subsidiaries
- fda_manufacturing_risk_summary
- fda_company_compliance_timeline
- fda_search_aphis
- fda_search_510k
- fda_search_pma
- fda_device_class
- fda_product_code_lookup
- fda_search_drugs
- fda_search_ndc
- fda_search_by_product
- fda_recall_facility_trace
- fda_company_full