AI is great at chat. Now make it work with your tools.
Your team uses Claude, ChatGPT, and Cursor every day. But the real work lives in monday.com, Slack, Freshdesk, Gmail — and a dozen other tools. We build small custom MCP servers that bridge them, so the AI you already pay for can actually do something useful with your data.
Works with Claude · Cursor · Windsurf · any MCP-compatible client. ChatGPT via Connectors.
Built by the team behind DocExport.aiOnboard our new customer Acme Corp.
Sent from any MCP-compatible AI client
One prompt · one MCP server · four real systems updated
The everyday gap
AI can't see the work that actually pays the bills.
Every team has 3-5 tools that hold the real state of work: which client is overdue, what Slack thread blocked the project, who hasn't replied to that ticket. The AI can't read any of it. So your team still copies, pastes, and switches tabs all day.
- ✕Your AI assistant has zero context about your actual work.
- ✕Critical context lives in tools the AI can't reach.
- ✕Recurring workflows still need a human to start them.
- ✕Half of every workday is copy, paste, and switching tabs.
How it works
Small scope. Real ROI. Shipped in days.
We don't sell a platform. We build one small MCP server that solves one painful workflow. Then another. Then another.
Pick one workflow
Your weekly Slack report. Your monday.com triage. The Freshdesk drag. We start with one and ship it.
We build the MCP
Hosted by us or in your VPC. Auth, audit logs, and scopes baked in. Typically 1–2 weeks.
Your AI handles it
Claude, Cursor, Windsurf, or ChatGPT via Connectors — whatever your team already uses — now runs that workflow without anyone opening tabs.
Real examples
Built. Running. Saving time.
A few practical examples in action. Toggle Manual vs With MCP to see the chore disappear.
Weekly Slack report
MRR, churn, installs — pulled from 5 sources, posted every Friday.
Two time-consuming chores: build the report, then attach it. ~15 min if nothing breaks.
DocExport.Standalone
Turns any Word template into a PDF generator your AI calls on its own.
Beyond the custom work, we also ship our own product. Upload a Word file with variable fields, tell the AI what each field means, and Claude or ChatGPT generates the filled PDF.
- ✓Works with the Word files you already have
- ✓AI learns each field's meaning on its own
- ✓Free tier, ready to try right now
- ✓Runs in the cloud, nothing to install
Try it yourself
Your team asks. The bridge answers.
Pick a scenario and click a question. You'll see the same flow your team would see in Claude — the bridge fetches from the real tool, returns a cited answer, and logs every call.
What this looks like for your team.
No new dashboard. No new login. Same Claude or ChatGPT they already use — now plugged into the tools where the work happens.
- ✓Read-only by default. Write actions need approval.
- ✓Every query logged with user, timestamp, and source.
- ✓Runs in your cloud or ours. Your data, your control.
Demo runs on scripted data. The real bridge connects to your live tools.
Who's behind this
The team building your MCP server.
You'll talk directly to the people writing the code on the scoping call — no salespeople, no handoff to junior consultants.
Johannes Geyer
Founding Partner, TowerApps
Erlangen, Germany
Architects and ships AI-native products. Behind DocExport.ai and the MCP servers we build for customers.
LinkedIn
Gabriel Diogo
Software Engineer
Cambé, Brazil
Builds the integrations behind our MCP servers — the layer where Claude, Cursor or ChatGPT actually reach monday.com, Slack, Gmail and other tools.
LinkedInCommon scenarios
Workflows we bridge.
Examples of what we can build. Yours probably looks like one of these — or close enough.
monday.com + AI
Project mgmtConnect monday.com's AI to your boards. Ask "which sprints are red?" and get the answer with citations to specific items.
Slack weekly report
ReportingEvery Friday a Slack message with last week's KPIs, customers added, churn, NPS — pulled live from 4–5 sources.
Freshdesk triage
SupportFirst-pass classification, suggested response, and escalation flag on every new ticket — before a human opens it.
Google Calendar
SchedulingAsk "find a 30-min slot with João next week" in Claude and get real options pulled from live calendars.
Gmail drafts
Sales / CSDrafts that already know the customer's history, last order, and open tickets — pulled from your CRM and helpdesk.
Your custom flow
CustomYour team has one painful internal flow nobody else has. We scope it in a 20-min call and build it.
Pricing
Small scope. Honest prices.
No platform fee. No seat licenses. You pay for the workflow we ship.
Pilot
A focused MCP server for one painful workflow. Scoped together, delivered fast.
- ✓Discovery call + spec
- ✓Production-ready MCP server
- ✓Auth, audit logs, scoped access
- ✓Hosting handled during delivery
Multi-workflow
Multiple MCP servers in one engagement. Joint discovery, shared delivery.
- ✓Several production-ready MCP servers
- ✓Joint discovery sprint
- ✓Auth + audit baked in
- ✓Hosting handled during the engagement
Hosting & care
After delivery: hosting, monitoring, and changes as your workflows evolve.
- ✓MCPs hosted in your VPC or ours
- ✓Uptime monitoring + alerts
- ✓Small change requests included
- ✓Email + Slack support
FAQ
Questions you're probably about to ask.
What is MCP, exactly?+
Model Context Protocol is an open standard from Anthropic that lets any AI model talk to any tool through one interface. Think of it as USB for AI: build one MCP server for your tool, and it works with Claude, Cursor, Windsurf, and every other MCP-compatible client.
Why not just build this in Zapier or Make?+
Zapier and Make are great for fixed if-this-then-that recipes. MCP is for AI agents that need to reason about your data live: ask follow-up questions, decide what to do, cite sources. If your need is a fixed automation, we'll tell you to use Zapier. If it's an AI-first workflow, MCP is the right tool.
How is this different from using ChatGPT or Claude tools directly?+
MCP is the protocol behind those tools. Build the MCP server once and it works in Claude Desktop, Cursor, Windsurf, and other MCP-compatible clients — and is callable from ChatGPT via Connectors. You don't get locked into one vendor and you get auth, audit, and scopes built in.
How long does it take to ship one workflow?+
Usually 1–2 weeks from scoping call to working MCP. Custom workflows with weird auth or legacy systems take longer — we'll tell you on the call.
Do you need access to our data on your servers?+
No. The MCP server can run in your VPC, on your infra, or hosted by us — your call. Read-only by default, write actions need explicit approval, every call logged.
Tell us which workflow is wasting your team's time.
20 minutes. No sales pitch. We tell you on the call whether it's a fit and what it'd take. If a Zapier recipe solves it, we'll say so.
- ✓ Honest scoping, not a pitch
- ✓ Fixed-price proposal in 48h
- ✓ If it's not MCP-shaped, we'll tell you
Prefer to pick a slot now?
Book a 20-min callOr send a few details and we'll reply within one business day: