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Improvado MCP — Gmail Data, Queryable by AI

Improvado's MCP server connects Gmail to Claude, Cursor, and other AI agents. Query your Gmail data in natural language — no manual exports or API scripts required.

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

Read: Instant Answers from Gmail

Stop searching through thousands of emails to find what you need. Ask your AI agent to surface conversations, summarize threads, extract action items, and find specific information across your entire inbox — in seconds.

Example prompts

"Summarize all emails from Acme Corp in the last 30 days. What were the key asks, decisions, and unresolved items?"

45 min → 1 min

"Which emails have I received this week that require a response and haven't been replied to yet?"

20 min → 30 sec

"Find all emails mentioning the Q2 media budget in the last 3 months and extract every dollar figure mentioned."

1 hr → 2 min
Works with Claude ChatGPT Cursor +5
Write

Write: Automate Gmail Actions

Improvado's MCP server gives your AI agent access to Gmail data — message metadata, threads, labels, and patterns. Search across your inbox, analyze communication trends, and surface insights from email data without manual searching.

Example prompts

"Find all emails from agency contacts in the last 60 days that mention 'Q2 proposal'."

20 min → 2 min

"Summarize my email threads with Sarah at GlobalCorp — what are the open action items?"

30 min → 1 min

"Which team members have the most unread emails from clients? Show the breakdown."

10 min → 30 sec
Every action logged · Fully reversible · SOC 2 certified
Monitor

Monitor: Catch Gmail Issues Before They Escalate

Set AI-powered watches on inbox patterns, unanswered threads, and important sender activity. Get proactive summaries before critical emails get buried under newsletters and auto-notifications.

Example prompts

"Alert me if any email from a C-level contact hasn't received a reply within 24 hours."

Manual → auto

"Every morning at 8am: summarize emails received overnight, flag urgent items, and list any threads that have been waiting for my reply for more than 48 hours."

30 min → auto

"Notify me if I receive more than 3 emails about the same topic from different senders within a 6-hour window — likely a developing situation."

Manual → auto
Alerts sent to Slack, email, or your AI agent
Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

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

Ideate
Launch
Measure
Analyze
Report
Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

Critical Information Is Buried in Email Threads Nobody Has Time to Read

The problem

High-volume inboxes accumulate hundreds of emails per day. Critical context — a client's changed requirements, a vendor's updated pricing, a legal team's approval — sits in a thread that's been flagged but not read. Decisions get made without that context, and the miss only surfaces after the damage is done. Searching for it retroactively costs 45 minutes and still may not find the right email.

How MCP solves it

Ask your AI agent to surface any email context on demand. It searches your full inbox history, reads the relevant thread, extracts the key information, and returns a summary in under a minute — with citations to the specific email so you can verify.

Try asking
What did the legal team say about the data processing agreement in their last email to me? Summarize their position and any conditions they set.
Answer in seconds
All data sources, one query
Challenge 2

Preparing for Meetings Requires Re-reading Months of Email Chains

The problem

Before a client call, account managers spend 30–45 minutes reading back through months of email threads to reconstruct context: what was promised, what was delivered, what's outstanding. This pre-meeting research is manual, time-consuming, and still incomplete if emails were sent to a colleague's inbox rather than your own.

How MCP solves it

Ask your AI agent to prepare a complete pre-meeting briefing from Gmail. It reads all relevant threads with the client or account, extracts commitments, open items, and tone signals, and returns a structured briefing — ready in 90 seconds, not 45 minutes.

Try asking
I have a call with TechCorp in 30 minutes. Summarize all emails we've exchanged in the last 6 months: key decisions made, promises given, and anything that's been raised but not resolved.
Full detail preserved
No data loss on export
Challenge 3

Email Follow-Ups Fall Through the Cracks

The problem

Professionals send dozens of emails per week that require a response or follow-up action. Without a dedicated system, these threads disappear from view after a few days. Important outreach goes unanswered, proposals don't get followed up, and time-sensitive requests slip. CRM tools capture some of this, but direct Gmail threads with no CRM association are invisible.

How MCP solves it

Improvado MCP monitors your Gmail for unanswered threads and upcoming follow-up windows. Your AI agent identifies conversations that are waiting for a response, flags any with time-sensitive context, and can draft follow-up emails ready for your review.

Try asking
Which emails have I sent in the last 14 days that haven't received a reply yet? Prioritize by sender tier and subject line urgency, and draft a brief follow-up for the top 3.
Unified data model
Compare anything side by side
👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

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.
FAQ

Common questions

What is Gmail MCP?

Gmail MCP is a Model Context Protocol server that connects your Gmail inbox to AI agents like Claude, ChatGPT, and Gemini. It lets you search, read, and summarize emails in natural language — and take write actions like drafting replies, applying labels, and sending messages — without opening Gmail — all through Improvado's hosted MCP server.

Which Gmail data can I access through the MCP server?

Emails, threads, attachments (text-extractable), labels, drafts, contacts, and search results. The AI agent can query by sender, subject, date range, label, attachment type, or any combination — and summarize threads of any length.

Can the AI agent send emails and modify my inbox, or only read data?

Both. Read operations include searching emails, reading threads, extracting content from attachments, and summarizing conversations. Write operations include drafting emails, sending messages, applying labels, creating filters, archiving threads, and marking messages as read. Gmail OAuth scopes control exactly what actions are permitted.

How does this handle shared inboxes or Google Workspace team emails?

If you authenticate with an account that has delegated access to a shared inbox, the AI agent can query that inbox alongside your personal one. Google Workspace service accounts with domain-wide delegation can be configured to access multiple mailboxes — useful for shared support or sales inboxes.

Is my Gmail data secure through the MCP server?

Yes. Improvado stores Gmail OAuth tokens in an encrypted vault certified to SOC 2 Type II. The AI agent never accesses your credentials directly. All requests go through Improvado's secure proxy. You control the OAuth scope granted during setup — read-only or read/write.

How quickly can I set this up?

Under 60 seconds. Authenticate with Google OAuth, approve the requested Gmail scopes, and add the MCP server URL to your AI agent config. Improvado users with Google Workspace already connected can start querying immediately.

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