DataNexus MCP for LangChain
com.datanexusmcp/mcp-server
Public data intelligence for AI agents — CVE, compliance, patents, contracts, domains.
client:LangChain
transport:streamable-http
runtime:npm
tools:55
Install DataNexus MCP in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp-server": {
"transport": "streamable_http",
"url": "https://datanexusmcp.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
- report_feedback
- report_mcpize_link
- validate_tool_output
- search_datanexus_tools
- nonprofit_fetch_nonprofit_by_ein
- nonprofit_search_nonprofits_by_name
- nonprofit_fetch_charity_uk
- security_fetch_package_vulnerabilities
- security_fetch_dependency_graph
- security_fetch_cve_detail
- security_audit_sbom_vulnerabilities
- security_fetch_package_licence
- security_fetch_cisa_kev
- security_fetch_cve_epss
- compliance_fetch_npi_provider
- compliance_search_npi_by_name
- compliance_fetch_finra_broker
- compliance_check_sam_exclusion
- domain_fetch_domain_rdap
- domain_fetch_ssl_certificate_chain
- domain_fetch_dns_records
- domain_fetch_domain_history
- domain_fetch_subdomains
- domain_check_email_security