mailgun
 · MCP Server

Mailgun MCP — Email Delivery Data, One Question Away

Improvado's MCP server connects Mailgun to Claude, Cursor, and other AI agents. Query delivery rates, bounces, open rates, and suppressions in natural language. Trigger sends and monitor deliverability — without leaving the conversation.

46K+ metrics · Read & Write access · 500+ platforms · <60s setup
📈 Read

Read: Pull Email Delivery Metrics Instantly

Ask your AI agent for delivery rates, bounce breakdowns, open rates, unsubscribes, and suppression list sizes — across any domain, campaign, or date range. The MCP server handles the Mailgun API calls.

Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.

Example prompts
"Show anomalies across all accounts" 2h → 40s
"CPL in New York vs. California?" 1h → 30s
"ROAS by campaign type, last 30 days" 45m → 15s
Works with Claude ChatGPT Cursor +5
Write actions
"Launch A/B test, $5K budget" 5 days → 20m
"Shift 20% of Display to PMax" 2h → 1m
"Pause all ad groups with CPA > $50" 30m → 10s
🛡 Every action logged · Fully reversible · SOC 2 certified
🚀 Write

Write: Send Emails and Manage Suppressions from the Chat

Your AI agent can trigger Mailgun sends, add addresses to suppression lists, and remove incorrect bounces — directly from the conversation. No switching to dashboards or making separate API calls.

250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.

⚠️ Monitor

Monitor: Deliverability Health and Bounce Spikes

Set up ongoing watches on delivery rates, bounce thresholds, and suppression list growth. Your AI agent monitors Mailgun domains continuously and alerts when deliverability starts to degrade.

Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.

Monitor prompts
"Flag ad groups over 120% budget" 3h → 1m
"Weekly report: spend, CPA, anomalies" 3h → auto
"Which creatives are fatiguing?" 2h → 30s
Alerts sent to Slack, email, or your AI agent
💡
Ideate
🚀
Launch
📈
Measure
🔍
Analyze
📝
Report
🔄
Iterate
One conversation. All six phases. Every platform.
🔄 Full Cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent can trigger Mailgun sends, add addresses to suppression lists, and remove incorrect bounces — directly from the conversation. No switching to dashboards or making separate API calls.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Challenge 1

Deliverability Degradation Caught Too Late

THE PROBLEM

Bounce rates creep up gradually before they become a problem. By the time teams notice in weekly reports, domain reputation may already be damaged and inbox placement rates have dropped — affecting campaigns well beyond the initial sending batch.

HOW MCP SOLVES IT

Improvado monitors Mailgun delivery metrics continuously. The MCP server surfaces bounce rate trends in real time and triggers alerts at defined thresholds — so teams catch deliverability issues in hours, not weeks.

Try asking
"Show ROAS across all 120 accounts"
Answer in seconds
All data sources, one query
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Challenge 2

Suppression Lists Grow Without Anyone Noticing

THE PROBLEM

Suppression lists accumulate over time from bounces, unsubscribes, and spam complaints. Without regular audits, teams continue excluding valid addresses that could be re-engaged — or miss bulk removals from a bad import that are inflating the list.

HOW MCP SOLVES IT

Improvado makes suppression list data queryable through the MCP server. Teams can ask for suppression breakdown by type and recency, identify stale entries, and take action — all from a single conversation.

Challenge 3

No Visibility Across Multiple Sending Domains

THE PROBLEM

Organizations using Mailgun for both transactional and marketing sends often manage multiple sending domains. Comparing performance across domains — delivery rates, open rates, reputation signals — requires separate lookups and manual aggregation.

HOW MCP SOLVES IT

Improvado aggregates Mailgun data across all domains into a unified queryable model. The MCP server lets teams compare performance across transactional and marketing domains in a single question.

Try asking
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
Agency CEO
Portfolio health. Client risk. Revenue signals.
Media Strategist
70% strategy, not 70% ops. Auto campaign QA.
Marketing Analyst
Zero wrangling. Cross-platform. AI narratives.
Account Manager
QBR decks auto-generated. Call prep in 30s.
Creative Director
Performance-to-brief. Predict winners before spend.
👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.

Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.

Frequently Asked Questions

Does Mailgun have a native MCP server?
+

Mailgun does not provide a native MCP server. Improvado's MCP server connects Mailgun to Claude, Cursor, ChatGPT, and other MCP-compatible AI tools — handling API authentication, data normalization, and query execution so teams can interact with email delivery data in natural language.

Which Mailgun data is accessible through the MCP server?
+

Improvado exposes send events (delivered, bounced, opened, clicked, unsubscribed, complained), suppression lists, domain statistics, message logs, and template metadata. Both read and write operations are supported — including triggering sends, managing suppressions, and removing incorrect bounces.

Can the AI agent actually send emails through Mailgun?
+

Yes, with appropriate permissions configured. The MCP server supports write operations including triggering sends via templates or raw content, adding and removing suppression list entries, and managing mailing lists. Write access is scoped at the connection level and can be restricted to read-only for analytics-only use cases.

Which AI tools work with the Mailgun MCP server?
+

Any tool supporting the Model Context Protocol — including Claude Desktop, ChatGPT, Cursor, Windsurf, and Gemini. Improvado's MCP connection uses HTTP transport, making it compatible with any custom application built on the MCP standard.

Can I analyze Mailgun data alongside other marketing channel data?
+

Yes. Improvado's MCP connection gives your AI agent access to 500+ data sources. Teams can correlate Mailgun email performance with paid media, attribution, and CRM data in a single conversation — without building custom pipelines or writing SQL.

How is Mailgun API access secured through Improvado?
+

Improvado stores Mailgun API keys in an encrypted vault. Credentials are never exposed to the AI agent or included in query responses. All operations run through Improvado's SOC 2 Type II certified infrastructure, with full audit logging of both read and write actions.

Does Mailgun have a native MCP server?
Mailgun does not provide a native MCP server. Improvado's MCP server connects Mailgun to Claude, Cursor, ChatGPT, and other MCP-compatible AI tools — handling API authentication, data normalization, and query execution so teams can interact with email delivery data in natural language.
Which Mailgun data is accessible through the MCP server?
Improvado exposes send events (delivered, bounced, opened, clicked, unsubscribed, complained), suppression lists, domain statistics, message logs, and template metadata. Both read and write operations are supported — including triggering sends, managing suppressions, and removing incorrect bounces.
Can the AI agent actually send emails through Mailgun?
Yes, with appropriate permissions configured. The MCP server supports write operations including triggering sends via templates or raw content, adding and removing suppression list entries, and managing mailing lists. Write access is scoped at the connection level and can be restricted to read-only for analytics-only use cases.
Which AI tools work with the Mailgun MCP server?
Any tool supporting the Model Context Protocol — including Claude Desktop, ChatGPT, Cursor, Windsurf, and Gemini. Improvado's MCP connection uses HTTP transport, making it compatible with any custom application built on the MCP standard.
Can I analyze Mailgun data alongside other marketing channel data?
Yes. Improvado's MCP connection gives your AI agent access to 500+ data sources. Teams can correlate Mailgun email performance with paid media, attribution, and CRM data in a single conversation — without building custom pipelines or writing SQL.
How is Mailgun API access secured through Improvado?
Improvado stores Mailgun API keys in an encrypted vault. Credentials are never exposed to the AI agent or included in query responses. All operations run through Improvado's SOC 2 Type II certified infrastructure, with full audit logging of both read and write actions.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II
GDPR
500+ Platforms
46K+ Metrics