Cold Emails That Feel Warm and Personal

import requests

API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}

response = requests.post(
    f"{API}/send",
    headers=HEADERS,
    json={
        "from": "[email protected]",
        "to": ["[email protected]"],
        "subject": "Saw your talk on AI agents at PyCon - quick question",
        "text_body": (
            "Hi Sarah,\n\n"
            "I caught your PyCon talk on building production AI agents. "
            "The part about email handling challenges really resonated — "
            "we see the same issues with our customers.\n\n"
            "We built MultiMail specifically for that problem: giving "
            "AI agents email capabilities with human oversight controls. "
            "Your mention of needing &"cm">#039;guardrails on outbound sends' is "
            "exactly what our gated_send mode does.\n\n"
            "Would you be open to a 15-minute call to see if it could "
            "help your agent project?\n\n"
            "Best,\nYour Name"
        ),
        "html_body": "<p>Hi Sarah,</p><p>I caught your PyCon talk...</p>"
    }
)
print(f"Cold email queued for review: {response.json()[&"cm">#039;id']}")

import requests

API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}

"cm"># Add prospect with research context
response = requests.post(
    f"{API}/contacts",
    headers=HEADERS,
    json={
        "email": "[email protected]",
        "name": "Sarah Chen",
        "metadata": {
            "company": "Acme Corp",
            "role": "Head of AI Platform",
            "source": "PyCon 2026 speaker",
            "hook": "Talked about email handling challenges in agents",
            "status": "cold-prospect"
        }
    }
)

"cm"># Search for prospects by source
prospects = requests.get(
    f"{API}/contacts/search",
    headers=HEADERS,
    params={"query": "PyCon cold-prospect"}
).json()
print(f"PyCon prospects: {len(prospects[&"cm">#039;results'])}")

"cm">// Add prospect with research data
await mcp.add_contact({
  email: "[email protected]",
  name: "Sarah Chen",
  metadata: {
    company: "Acme Corp",
    role: "Head of AI Platform",
    source: "PyCon 2026",
    hook: "Email handling challenges in agents talk"
  }
});

"cm">// Send personalized outreach (gated_all: full review)
const result = await mcp.send_email({
  to: "[email protected]",
  subject: "Saw your PyCon talk on AI agents - quick question",
  text_body: "Hi Sarah, I caught your talk on building production agents..."
});

await mcp.tag_email({
  email_id: result.id,
  tags: ["cold-outreach", "pycon-campaign", "first-touch"]
});

"cm">// Check for replies
const inbox = await mcp.check_inbox({
  mailbox_id: "sales-mailbox-id",
  status: "unread"
});