mcp for LangChain
io.github.dmarc-examiner/mcp
Read your own DMARC aggregate and forensic reports: sources, alignment, alerts, CSV export.
client:LangChain
transport:streamable-http
runtime:npm
tools:21
Install mcp in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp": {
"transport": "streamable_http",
"url": "https://mcp.dmarc-examiner.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
- list_domains
- get_domain
- check_dmarc
- create_domain
- verify_domain
- delete_domain
- list_reports
- get_report
- get_report_statistics
- export_report_csv
- list_alerts
- dismiss_alert
- list_forensic_reports
- get_forensic_report
- get_forensic_reports_statistics
- get_forensic_reports_summary
- list_webhooks
- create_webhook
- update_webhook
- delete_webhook
- test_webhook