Turnkey MCP server — your product inside ChatGPT, Claude and Gemini
We build an MCP server that turns your product and API into tools for AI assistants: your customer checks, orders, launches and pays right inside the chat — without leaving ChatGPT, Claude, Gemini or Cursor. Plus a copilot widget for your site and publication in the Unyly catalog (47,000+ MCP) and AI directories.
AEO brings the customer from AI. MCP lets them act right there.
Two halves of one AI-presence strategy. AEO makes the assistant name you. MCP makes the customer able to act — right in the chat, with their own hands, in your interface.
AEO — “find”
- AI recommends you when the customer asks “what should I choose”
- This is customer acquisition from the AI
- We already do this in AEO Studio
MCP — “act”
- The AI can already call your product: show, order, launch
- The customer completes the action without leaving the chat
- This is retention, turnover and a growth point
One agent — three channels
A single intelligent layer on top of your API. Works identically inside AI assistants, on your site and in distribution. One logic, one brand voice, one analytics.
MCP server
Your functions as tools for Claude, ChatGPT, Gemini, Cursor. Hosted, OAuth, production monitoring. New AI clients are added with no rework.
Site copilot widget
The same agent on the same MCP layer — on your website. Answers, recommends, drives to action. One line of code, your branding.
Distribution in AI networks
Publication in MCP catalogs (Unyly 47,000+, Anthropic, OpenAI), install button, referral mechanics right in the dialogue.
Tools that solve money tasks
The AI calls these tools itself when the customer asks about your product — without leaving the chat. The MVP scope and priority are tailored to your goals during Discovery.
Data & search
Catalog, prices, availability, statuses, search over your data — public reads the assistant shows on request.
Actions & intents
Place an order, booking, request, launch a process — on the “intent → customer confirmation” principle. Not a demo, a working loop.
Automation & workflows
Launch, pause and monitor your workflows and bots from the chat. Status, metrics, control — right there.
Account & growth
Balance and history after OAuth, referral links, personal offers — the dialogue becomes a growth point.
The agent prepares an intent — the customer confirms
Anything that moves money or is irreversible works on the “agent prepares an intent — customer confirms in your app” principle. MCP never executes such an action on its own.
Keys in Vault
No API key ever reaches the LLM or sits in configs. Secrets are encrypted in a protected store.
Read / Trade scopes
Three access levels: public reads → authorized reads (OAuth 2.1) → transactional intents. The customer decides what to allow.
Full audit
Every tool call is logged: who, what, when. Guardrails: limits, confirmations, an audit trail.
Where the customer connects you in one click
The same server serves every platform — new AI clients are added with no rework.
Connector + install
Catalog publication and an install link — one-click connection via Unyly. Desktop, Web, Mobile.
Apps & connectors
App/connector in the OpenAI directory — mass reach of 800M+ weekly.
Connect by URL
MCP connection by server URL — the Google and xAI ecosystems.
Deep-link install
Install via unyly install — developers as the core of early clients.
Verified listing
Signature, review, server page. 47,000+ MCP, organic traffic from search and LLMs.
Copilot
Widget + a “product in your AI” page with install buttons — all of your existing traffic.
From kickoff to launch — 13 weeks
Discovery
API audit, map of 25+ tools, authorization schemes and scopes, prototype of 3 scenarios. We fix the spec and the estimate.
MVP: MCP + copilot
Public and authorized reads, hosted deployment, catalog publication, site widget.
Actions & automation
OAuth binding, transactional intents, launch/pause of workflows, risk control, audit trail.
Preliminary estimate — fixed after Discovery
Discovery
- API & data audit
- Map of 25+ tools
- Scenario prototype
- Spec + final estimate
MCP + copilot
- Reads: data & account
- Hosted infrastructure
- Site copilot widget
- Catalog publication
Actions & bots
- OAuth + intents
- Launch/pause workflows
- Risk control
- Audit log & guardrails
Support
- SLA + monitoring
- New tools on demand
- Dialogue analytics
- Distribution & catalogs
Whole project (phases 0–2): $37,500. The estimate is refined by up to ±15% after Discovery depending on API readiness. Staged payment, crypto or invoice.
Scenario examples by industry
The tool set is tailored to your product during Discovery. Here's how an MCP server looks in three typical cases — from reading data to acting with customer confirmation.
Online store
The assistant shows availability and price, picks a product and places an order — an intent the customer confirms and pays for in your interface.
Service & product
Answers from your knowledge base, account status after OAuth, ticket creation and workflow launch — right in the dialogue, no dashboard needed.
Booking & requests
Check free slots, book and request a service — the agent prepares an intent, the customer confirms. Keys never leave the Vault.
Let’s discuss an MCP server for your product
Leave your contact — a managing partner will review your product and honestly assess which tools deliver results first and what goes into the MVP. We’ll walk through the deck, fix the MVP scope and tool priority. Then Discovery in 2 weeks and a working MCP server in the catalogs in 7 weeks.
Request received ✓
A managing partner will contact you within 24 hours to review the product and outline the MCP server scope.
We deploy and publish MCP servers on Unyly — the #1 MCP marketplace worldwide with 47,000+ servers and verified integrations (with security review): hosted infrastructure, OAuth, Vault, verified listing and one-click install.
Frequently asked questions about MCP servers
What is MCP in simple terms?
MCP (Model Context Protocol) is an open standard by which AI assistants call external tools. An MCP server describes your product’s functions so ChatGPT, Claude, Gemini and Cursor can call them and perform an action right in the dialogue with the customer.
How is an MCP server different from a chatbot or a regular integration?
A chatbot answers with text. An MCP server gives the assistant real actions in your system: check availability, create an order, launch a workflow, show a balance. The same server works across all AI clients at once — new clients are added with no rework.
How much does it cost and how long does it take?
Discovery — $2,500 (2 weeks), MVP MCP server + copilot — $15,500 (5 weeks), actions and automation — $19,500 (6 weeks), support — $2,500/mo. The whole project starts at $37,500; the estimate is refined by up to ±15% after Discovery.
Is it safe to give AI access to a product and money?
Yes. The principle: the agent prepares an intent — the customer confirms in your app. MCP never moves money or performs irreversible actions on its own. Keys are stored in a Vault (not in configs), access is scoped via OAuth 2.1, and every call is logged.
Which assistants does it work with?
Claude (Desktop/Web/Mobile), ChatGPT (Apps and connectors), Gemini and Grok (by server URL), Cursor and IDEs (deep-link install). Plus a copilot on your own site on the same MCP layer.
What is a listing in the Unyly catalog and why does it matter?
Unyly is the #1 MCP catalog worldwide (47,000+). A verified publication gives organic traffic from search and AI, an install button and one-click connection of your server from the dialogue. It pairs with AEO: the AI both finds you and lets the customer act.