Custom MCP servers that connect AI agents to your product.
AI agents are only as useful as the access they have. We build custom MCP servers that let assistants like Claude read your data and act in your tools, securely and on your terms, so AI works with your product instead of guessing about it.
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Your situation
When AI could help, if only it could reach your systems.
The gap between a smart assistant and a useful one is access. If these sound familiar, an MCP server is the missing bridge.
Assistants give generic answers because they have no access to your app, your database or your tools.
Copy-pasting into ChatGPT
You want AI to act, not just talk
No safe way to connect it
Our expertises
From your data to an AI agent that can use it.
One team scopes the access, builds the MCP server and keeps it secure.
AI, plugged into your product
One team scopes what an agent should reach, builds the custom MCP server and keeps it secure. Assistants like Claude read your data and act in your tools on your terms, instead of guessing.
Use case and access scoping
An MCP server is only as safe as the boundaries you draw before building it. We define exactly what an assistant should be able to read and do inside your product, and just as importantly what it should not. Risky actions are gated or left out, and permissions scoped tight from the start, so you get a clear plan before any code is written.
- Assistant use cases mapped in detail
- Data and actions to expose clearly defined
- Permissions and limits scoped tight
- Risky actions gated or left out
- A clear plan before the build
MCP server development
An MCP server is only as safe as the boundaries you draw before building it. We define exactly what an assistant should be able to read and do inside your product, and just as importantly what it should not. Risky actions are gated or left out, and permissions scoped tight from the start, so you get a clear plan before any code is written.
- A server built on the open MCP standard
- Your data exposed as clean read tools
- Your actions exposed as safe tools
- Clear, documented tool definitions
- Works with any MCP-compatible client
Security and permissions
Giving an agent access to live systems only works if every reach is controlled. We handle authentication, scope each tool to least privilege by default, and log every action the agent takes. Nothing runs without being validated first, so the server stays safe even on production data. If you ever need to know what happened, the full audit trail is there.
- Authentication and access control built in
- Least-privilege permissions by default
- Every action validated before it runs
- A full audit log of activity
- Safe to run on production data
Integration with your stack
A server that works off stale copies is worse than none, so we plug straight into the real thing. We connect it to your app, database and tools, so the agent reads live data and runs actions in the systems you actually use. It is built on your existing stack and shaped to fit your architecture, not bolted on the side. The agent works with your world as it really is.
- Connected to your app and database
- Live data, never stale copies
- Actions run in your real tools
- Built on your existing stack
- Shaped to fit your architecture
Testing and handover
A server that looks fine but breaks with a real agent helps no one. We test the tools with real AI clients, handle the edge cases and errors that only surface in use, and document everything clearly. Then we hand it over so your team can run it and add new tools later without us. It is yours to own, extend and rely on.
- Tested with real AI clients, not in theory
- Edge cases and errors handled properly
- Documented clearly for your team
- Easy to add new tools later
- Yours to run, own and extend
Related services
Our other web app services
MCP is how AI agents plug into the real world, safely.
A large part of what makes an AI assistant feel magic or useless is simply what it can reach. A model with no access can only talk about your business in the abstract. Give it structured, secure access to your data and your actions, and it stops guessing and starts doing. MCP, the Model Context Protocol, is the open standard that makes that connection clean instead of a pile of custom hacks.
An MCP server is a controlled doorway between an AI agent and your systems. It exposes exactly the data the agent can read and exactly the actions it can take, and nothing more. Instead of handing a model the keys to production, you define a set of tools it is allowed to use, each scoped, validated and logged, so capability never comes at the cost of control.
We build that server around your product. We map what an assistant should be able to see and do, wrap your data and your actions as clean MCP tools, and handle authentication and permissions so it is safe by design. The result is that an agent like Claude can work inside your product, read live data, trigger the right actions, respect your rules, without a human relaying every step.
And it is built on a standard, not a one-off. Because MCP is an open protocol, the server you get works with the growing ecosystem of AI clients rather than a single vendor. You connect once, and your product is ready for the assistants your team already uses and the ones coming next.
Why choose BeBranded?
3 good reasons to trust BeBranded with your site
1. A multi-skilled team, not just developers
Design, SEO, CRO, advanced Webflow development, automation… You get access to every skill you need without juggling multiple providers.
2. Certified Webflow Partner, Client-First methodology
Our code follows Client-First, the industry standard naming convention. Your site is scalable, maintainable and easily picked up by any Webflow developer.
3. A real partner, not just a service provider
We don't count hours, we align with your goals. Monthly reporting, strategic recommendations and constant availability.
case studies
Custom tools, running in production.
A few applications we designed and built for our clients.
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organic traffic in 2 months
How we built Boud'bOis, an e-commerce marketplace for non-standard wood: a Next.js app on Webflow Cloud, powered by Supabase and synced with Airtable.
Read the use case
Testimonials
Real results, whatever the project.
FAQ
Is everything clear?
What is an MCP server?
MCP, the Model Context Protocol, is an open standard that lets AI agents connect to data and tools. An MCP server is what you build to expose your app's data and actions to those agents, securely and in a structured way.
Why do I need one?
Because an AI assistant is only useful if it can reach your systems. An MCP server lets agents like Claude read your live data and act in your tools, instead of giving generic answers or relying on copy-paste.
Which AI assistants can use it?
Any MCP-compatible client, including Claude and a growing list of AI tools. Because it is a standard, you build once and connect to the ecosystem rather than a single vendor.
Is it safe to connect AI to our systems?
Yes, when it is built right. We scope exactly what the agent can read and do, enforce permissions, validate every action and log everything, so capability never means uncontrolled access.
Can the agent take actions, not just read data?
Yes. We expose safe, scoped actions as tools, so an agent can update a record or run a task, with the risky ones gated or excluded by design.
What can you connect it to?
Your app, your database, your internal tools and third-party services, on your existing stack, so the agent works with your real, live systems.
Who owns the code once the project is delivered?
You do, entirely, from delivery. We transfer the repositories, the access and the rights over the whole product. Nothing is locked on the agency side, no hidden subscription gates your access. What you paid for comes back to you without reserve.
You can always contact us
Because we love discussing your projects with you, don't hesitate to contact us, even if it's just to say hello!
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