AI drafts partner updates, deal notifications, and integration briefs. Your partnership team reviews before sending to maintain strategic alignment.
Partner relationships suffer from inconsistent communication. Channel partners, resellers, and integration partners miss opportunities because updates arrive late or not at all. Partnership managers juggle too many relationships to maintain personalized, timely communication with each partner.
MultiMail's AI agent drafts professional partner communications including co-marketing updates, deal registration notifications, and technical integration status. With gated_send oversight, partnership managers review every message before delivery, ensuring strategic alignment and relationship quality.
Use search_contacts and add_contact to maintain a rich partner contact database with tags for partner tier, integration status, and communication preferences.
The AI agent drafts partner communications based on relevant events — new feature launches, deal registrations, or integration milestones. Each message is personalized to the partner's tier and focus area.
With gated_send, every partner email lands in the approval queue. Partnership managers verify the messaging aligns with the relationship strategy before approving delivery.
Monitor partner responses using check_inbox and get_thread. Tag conversations by topic to build a complete picture of each partner relationship over time.
import requests
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
"cm"># Find integration partners
partners = requests.get(
f"{API}/contacts/search",
headers=HEADERS,
params={"tags": "integration-partner", "limit": 50}
).json()
for partner in partners["contacts"]:
response = requests.post(
f"{API}/send",
headers=HEADERS,
json={
"from": "[email protected]",
"to": partner["email"],
"subject": f"New integration opportunity: Webhook v2 is live",
"text_body": f"Hi {partner[&"cm">#039;name']},\n\nWe've launched Webhook v2 with retry logic and payload signing. This creates new integration possibilities for your platform...\n\nBest,\nPartnership Team"
}
)
print(f"Queued for {partner[&"cm">#039;email']}: {response.json()['id']}")Draft and send a feature announcement to relevant integration partners.
import requests
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
"cm"># Check for partner replies
inbox = requests.get(
f"{API}/mailboxes/partnerships-mailbox-id/inbox",
headers=HEADERS,
params={"status": "unread"}
).json()
for message in inbox["emails"]:
email = requests.get(
f"{API}/emails/{message[&"cm">#039;id']}",
headers=HEADERS
).json()
# Classify and tag the conversation
topic = classify_partner_topic(email["text_body"])
requests.post(
f"{API}/emails/{email[&"cm">#039;id']}/tags",
headers=HEADERS,
json={"tags": ["partner", topic]}
)Monitor inbound partner emails and tag conversations by topic for relationship tracking.
"cm">// Manage partner communications via MCP tools
"cm">// 1. Search for relevant partners
const partners = await mcp.search_contacts({
tags: ["integration-partner", "tier-1"]
});
"cm">// 2. Send personalized update
for (const partner of partners.contacts) {
await mcp.send_email({
from: "[email protected]",
to: partner.email,
subject: "New integration opportunity: MultiMail + YourPlatform",
text_body: `Hi ${partner.name}, we've launched webhook support that creates new integration possibilities...`
});
}
"cm">// 3. Check for partner responses
const inbox = await mcp.check_inbox({
mailbox_id: "partnerships-mailbox-id",
status: "unread"
});Use MultiMail MCP tools for partner communication workflows.
AI ensures every partner receives timely updates about features, deals, and opportunities — no partner falls through the cracks.
Gated send means partnership managers review every outbound message, ensuring communications align with relationship strategy and business goals.
AI tailors each partner update based on their tier, integration focus, and past conversations instead of sending one-size-fits-all newsletters.
Thread tracking and contact tagging build a complete communication history for each partner, giving context to every new interaction.
Email infrastructure built for AI agents. Verifiable identity, graduated oversight, and a 38-tool MCP server. Formally verified in Lean 4.