Custom AI · Integrations & MCP
AI integration services: connect Claude to your systems with a custom MCP server
We connect Claude or ChatGPT to your CRM, databases, internal APIs, Shopify and documents, so your AI can read and act on your real data within the permissions you set. Start with a free pilot on one real workflow.
免费试点，之后再商定价格。
What we connect
- Custom MCP server for your internal toolsMCP server development around your internal APIs and databases, so Claude can look things up and run approved actions instead of you copying data into the chat.
- Claude integration with your CRMClaude reads contacts, deals and history from your CRM, drafts updates and logs notes back, with every write limited to what you allow.
- Shopify and e-commerce dataAsk about orders, products, stock and customers in plain language, and let the assistant prepare changes that a person confirms.
- Your documents as a sourceWe connect wikis, shared drives and policy documents, so ChatGPT or Claude answers from your own sources and can point to where each answer came from.
如何运作
- 你描述问题几句话就够：给谁用、需要实现什么。
- 我们联系你团队会在聊天和邮件中回复，必要时会提问。
- 免费试点我们基于你的真实场景做出第一版。合适的话再商定价格。
常见问题
What is an MCP server, and do I need one?
MCP (Model Context Protocol) is an open standard that lets AI assistants such as Claude and ChatGPT use outside tools and data. An MCP server exposes your system to the assistant in a controlled way. If your AI needs data that lives in your own systems, a custom MCP server is usually the cleanest way to connect it, and if a ready-made connector already covers your tool, we will tell you.
Is my data safe? Who controls what the AI can do?
You decide what the integration can see and do: which systems, which records, and whether it can only read or also write. We use dedicated access keys with the narrowest permissions the task needs, and actions that change data can require a person to confirm. We agree with you where keys are stored, and they never go into prompts or chats.
What is the free pilot?
We take one real workflow, for example answering questions from your CRM, and build a first working version of the integration for it. You try it on your own data. If it is useful, we agree on the scope and price of the full build; if not, you owe nothing.