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Make Your Product Usable by AI Agents

The Model Context Protocol (MCP) is how Claude, ChatGPT and agent stacks connect to real software. We design and build MCP servers that put your SaaS inside the conversations where work happens — with auth and rate limits done properly.

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Platforms We Work With

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Trusted by 43+ teams worldwide
Client
Nexova
WotNot
PeakFlow
Grupo Rio
Streamly
Vaultik
MPloy
Synthex
Pritom
Orbitra
Client
Nexova
WotNot
PeakFlow
Grupo Rio
Streamly
Vaultik
MPloy
Synthex
Pritom
Orbitra

Why MCP, and Why It’s Tricky

An MCP server is API design under adversarial conditions: the caller is a model. These are the gaps between a demo server and one you can hand to customers:
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Challenge

AI agents can't see your product at all.

Solution

An MCP server exposes your capabilities as tools assistants can call — making you present wherever your customers' agents do their work.
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Challenge

Models misuse vague tools, confidently.

Solution

We design tool names, descriptions and schemas the way models actually read them — the difference between correct calls and confident chaos.
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Challenge

Auth must be user-delegated, not one big API key.

Solution

OAuth flows and per-token scoping so an assistant can only ever do what its human could do.
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Challenge

A confused agent can hammer your API.

Solution

Rate limits, bounded queries and response shaping keep costs and blast radius contained.
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Challenge

The standard is young and still moving.

Solution

We build the thin-layer way: your logic stays in your API, and the MCP surface stays cheap to update as the spec evolves.

MCP Services

MCP Server Build

Public packages are $49 for a technical review, $299 for a focused improvement and $999 for a basic page or workflow. Larger projects are privately scoped and quoted by email.

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Tool & Auth Design

Which capabilities to expose, how to describe them to models, and OAuth delegation that respects user permissions.

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Hosting & Upkeep

Deployment, logging, versioning and a test harness against real assistants — plus updates as MCP evolves.

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"They were able to create a brand new app within a short time frame and we were beyond impressed with the work.

This communication made the entire project easy to keep up with and stay on-track. I 100% recommend the Buildverio team - they are true professionals who know what they are doing."
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Operations, NYC Rental Bus
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"The service that Buildverio has offered us has been amazing.

After some years of trying to develop an app for our medical diagnostics company in Mexico they were able to help us bring the app to life. Their service has been great.

Our time zone differences has been a challenge but they where very flexible with us and the communication channels used where very efficient. The best thing about the service was the response time, the disposition and the help when developing the APIs."
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"Buildverio did a fantastic job. They finished our web app on time and quickly made the changes we asked for.

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Their well-structured development process facilitates easy progress reviews, leading to the smooth and successful execution of our project."
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"Working with the Buildverio team was an exceptional experience.

He skillfully combined code and no-code solutions to deliver a mobile app that was both time and cost-efficient. I was particularly impressed with his deep understanding of our business needs."
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From API to Agent-Ready

01

Capability Map

A free email consultation: which of your product's actions belong in an agent's hands — and which never should.

02

Tool Design

Names, descriptions and schemas written for model comprehension, reviewed against real assistant behaviour.

03

Auth & Scoping

OAuth delegation, token scopes and permission checks that mirror your product's own rules.

04

Build

A thin, tested layer over your existing API, with rate limits and bounded responses.

05

Assistant Testing

A harness that runs real prompts through Claude and other assistants against a staging server.

06

Ship & Document

Hosting, connector docs for your customers, and versioning so spec updates stay routine.

Partnering with All Businesses

Startups

 We help startups build MVPs quickly and efficiently, validating their ideas and gaining traction in the market.

SMEs

We empower SMEs to enhance their online presence with custom websites that drive growth and customer engagement.

Enterprises

We collaborate with enterprises to develop scalable and robust web platforms that meet their complex business needs.

FAQ

FAQs on MCP Server Development

What is an MCP server, in one sentence?

A standardised interface that lets AI assistants like Claude and ChatGPT securely use your product's features as tools, with your user's permission.

Do we need one if we already have an API?

Your API is 80% of the prerequisite. The MCP server is a thin, model-friendly layer over it — what's left is tool design, auth delegation and packaging, which is exactly what we build.

Which assistants support MCP?

Claude natively, plus the major agent frameworks, with adoption spreading across platforms through 2025–26. It's an open standard, not a single-vendor bet.

Remote server or local package?

Remote for SaaS products your customers connect from their assistant's settings; local packages for developer tools. We build and document both.

How do users connect it?

Remote: they add your server URL in their assistant's connector settings and authorise via OAuth. Local: an install command. We ship the docs for both.

Can agents break things in our product?

Only what you expose — scoping is the core of the design. Read-only tools first, writes behind confirmation, destructive actions never.

What does it cost to run?

MCP servers are thin: typical hosting is a small edge deployment measured in dollars, not hundreds, per month. The build is the investment; the run-rate is noise.

Is MCP going to stick around?

It's an open standard with thousands of servers in the wild in 2026. Like any young standard it will evolve — which is why the thin-layer build keeps your update cost low.

Free email consultation · fixed quote · you own the code

Put your product where the agents are

Public packages are $49 for a technical review, $299 for a focused improvement and $999 for a basic page or workflow. Larger projects are privately scoped and quoted by email.

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