Meet the AI assistant that prequalifies every lead Learn more
MCP server

Run your sales platform from a chat.

preqo has its own MCP server. Connect Claude, ChatGPT or any MCP client to set up projects, import price lists as units, upload exposés and query leads, with exactly the rights you have in the app.

Chat with an AI assistant connected to preqo: the user asks to import a price list as units for House B and to send the exposé to every lead interested in 3 rooms, the assistant calls the tools import_units, link_expose and send_message.

Example chat: a user asks the assistant to import a price list as units for House B and to send the exposé to every lead interested in 3 rooms. The assistant calls the preqo tools import_units, link_expose and send_message, and House B appears with 16 units on 4 floors.

The problem

Setting up a project should not take a week.

A lot of sales work is copying data from one place to another.

  • 01

    Typing price lists

    Units, sizes and prices are copied by hand from a spreadsheet.

  • 02

    Questions need a report

    Which leads in House B are ready for a consultation? Someone has to build a filter first.

  • 03

    Onboarding by hand

    Every new client of an agency means the same clicks for funnels, sequences and users.

How it works

Your CRM, inside Claude.

Every operation of preqo is also a tool of the MCP server.

01 · Chat

Ask in plain language. The assistant picks the right tools, shows what it does and runs them.

Units of House A in Quartier Lichtgarten: 23 units on 5 floors, each marked as available, reserved or sold, while units get reserved and sold.
Quartier Lichtgarten · House A

Units of house A in Quartier Lichtgarten: 23 units on 5 floors, each marked as available, reserved or sold. While you watch, units get reserved and sold.

  • “Import this price list as units for House B”
  • 16 units on 4 floors created
  • Exposé linked to every 3 room unit
  • 7 leads informed with consent
02 · Result

Everything lands in the app. Units, funnels and leads created in a chat are the same records your team works with.

Project view of Quartier Lichtgarten with houses, floors and units marked as available, reserved or sold.
  • Units with prices, sizes and status
  • Funnels ready to publish
  • Every change in the audit log
  • The same rights as in the app
Features

Made for real work, not demos.

The MCP server uses the same operations, rights and logs as the app.

  • Streamable HTTP

    One endpoint for every client, nothing to install locally.

  • OAuth 2.1 sign in

    Clients register themselves and sign in with your preqo account. No keys pasted into a chat.

  • Your rights apply

    The server checks the same rights and workspace boundaries as the app.

  • Audit log

    Every change through MCP is logged with user, client and time.

  • Every operation

    Leads, projects, units, funnels, exposés and more. One registry powers app, REST API and MCP.

  • REST API too

    Prefer code? The same operations are available as a REST API with an OpenAPI description.

Workflow

Connected in a minute.

  1. Step 1

    Add the server

    Add the preqo MCP address as a connector in your client.

  2. Step 2

    Sign in

    Log in with your preqo account and confirm the access.

  3. Step 3

    Ask

    Describe the task in plain language.

  4. Step 4

    Check

    Review the result in the app, every change is in the audit log.

Integrations

Works with the clients you use.

Any client that supports MCP over Streamable HTTP with OAuth can connect.

  • ClaudeClaude Desktop, claude.ai and Claude Code as a custom connector.
  • ChatGPTAs a connector wherever ChatGPT supports MCP.
  • Cursor and other IDEsFor developers who build on top of preqo.
  • n8n and scriptsUse the REST API with the same operations.
Data protection

Data protection is part of the product.

preqo is built in Germany for the rules of the EU. Our data processing agreements and the list of sub-processors are public.

  • Hosted in Frankfurt

    Database, logins and files run on Supabase in the AWS region eu-central-1. The app runs in the Frankfurt region of Vercel.

  • Consent before every contact

    AI calls, recordings and messages need documented consent. Every consent stores the text version and the time.

  • AI disclosure on every call

    The AI assistant says at the start of every call that it is an AI, in line with the EU AI Act.

  • Rights, audit and deletion

    Roles and row level security separate workspaces. Changes are logged, and deletions are final and documented.

FAQ

Questions and answers

What is an MCP server?

The Model Context Protocol is an open standard that lets AI assistants such as Claude use tools. The preqo MCP server offers the operations of the platform as such tools.

Which clients can connect?

Claude Desktop, claude.ai, Claude Code, Cursor and every other client that supports MCP over Streamable HTTP with OAuth, including ChatGPT where connectors are available.

Can the AI see data it should not see?

No. The MCP server works with your login and your role. Rights and workspace boundaries are checked on every call, in the application and in the database.

Do I need an API key?

No. Clients sign in through OAuth 2.1 with your preqo account. For server to server integrations the REST API is available with API keys.

Is every action logged?

Yes. Every change is written to the audit log with the user, the MCP client and the time.

Can agencies onboard clients with it?

Yes. Agencies set up client workspaces, import units and create funnels from one chat. Agency access is logged like in the app.

Connect Claude to preqo.

Create a free account and add the MCP server in a minute.