qorami-mcp
The Qorami MCP server acts as an AI email safety gate, providing two primary tools:
verify_email: Submit an email (recipient, subject, body, and optional policy profile) to get a permission decision before sending. The agent must obey the returned decision, which is one of:send— email is allowedrequest_human_confirmation— a human must review first; poll for the outcome usingcheck_action_statusdo_not_send— email is blocked; thesuggestionsfield explains what to fixOptionally returns a
remediation.safeBodywith sensitive content redacted when auto-remediation is possible
check_action_status: Poll the status of a pending human review using theactionIdreturned byverify_email. Continue polling until the decision becomes eithersend(approved) ordo_not_send(blocked).
Qorami SDK
Official clients, tool schemas and an MCP server for Qorami — a control point between your AI agents and actually sending email. Before each send, the agent asks Qorami, which replies send, request_human_confirmation, or do_not_send.
Get an API key in the dashboard. Full API reference: https://qorami.fr/docs.
Path | What |
Zero-dependency JavaScript / TypeScript client ( | |
Zero-dependency Python client (stdlib only) + a LangChain tool. | |
Drop-in OpenAI function-calling & Anthropic tool-use schemas for | |
Stdio MCP server ( | |
Runnable Node & Python quickstarts. |
JavaScript / TypeScript
import { QoramiClient } from './js/qorami.mjs'
const qorami = new QoramiClient({ apiKey: process.env.QORAMI_API_KEY })
await qorami.guard(
{ recipient: 'client@example.com', subject: 'Our offer', body, policyProfile: 'sales' },
{
send: () => mailer.send(), // allowed
requestHumanConfirmation: (r) => queue(r.action.id), // a human was notified
doNotSend: (r) => log('blocked', r.decision), // do not send
},
)Or step by step with qorami.verify(...) and, after a review, poll
qorami.status(actionId) until nextAction.type === 'send'.
Related MCP server: vantagate-mcp-server
Python
from qorami import QoramiClient
qorami = QoramiClient(api_key=os.environ["QORAMI_API_KEY"])
result = qorami.verify(recipient="client@example.com", subject="Our offer",
body=email_body, policy_profile="sales")
if result.next_action_type == "send":
send_email()
elif result.next_action_type == "request_human_confirmation":
queue_for_review(result.action_id) # a human was notified by email
# else: do_not_sendLangChain
python/langchain_tool.py exposes a
qorami_check_email tool an agent can call before sending:
from langchain_tool import build_qorami_tool
tool = build_qorami_tool() # reads QORAMI_API_KEYMCP server
Register Qorami as a native tool in Claude Desktop / Cursor / any MCP client —
see mcp/. It exposes qorami_health, verify_email and check_action_status over stdio.
The contract
Every client returns the same decision the agent must obey via nextAction.type:
send, request_human_confirmation (a human approves first — poll the action),
or do_not_send. See https://qorami.fr/docs.
Cleaned version (auto-remediation)
When an email is risky only because of mechanically-removable content (a leaked
secret, a suspicious link, an IBAN/card/SSN), the verify result carries a cleaned,
sendable copy — send remediation.safeBody instead of blocking outright:
const r = await qorami.verify({ recipient, subject, body, policyProfile: 'general' })
if (r.nextAction.type === 'do_not_send' && r.remediation?.safeToSend) {
mailer.send({ ...email, body: r.remediation.safeBody }) // safe, redacted copy
}r = qorami.verify(recipient=..., subject=..., body=email_body)
if r.next_action_type == "do_not_send" and (r.remediation or {}).get("safeToSend"):
send_email(body=r.remediation["safeBody"]) # safe, redacted copyremediation.removed lists what was stripped (e.g. ["secret", "link"]). The MCP
server surfaces the same field.
License
MIT — see LICENSE.
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