Query safely
The model reads your databases through scoped, read-only tools: no raw SQL and no accidental writes.
Our MCP server development services cover the full path, from designing the right tools to running a secure production server. Start with one piece or hand us the lot, and we will stay on to run it.
We build by the system you want AI to reach rather than by industry. Our MCP server development covers the places your data and workflows already live, from internal databases to the product you sell.
The model reads your databases through scoped, read-only tools: no raw SQL and no accidental writes.
Defined write actions run behind permissions and approval. The model acts without touching everything.
One server can span several internal systems through a single interface. Answers pull from all of them at once.
Tools hit live systems rather than a stale export. The model always works from current data.
Leo Kudryavtsev
Founder & Principal Solution Architect, Softrange TechnologyKhalid Alolayan
CEO at ShaddaIncora developed an iOS application for an on-demand delivery service company. The team built and designed the app to help the client achieve an improved user experience and add new features. Incora led a solid process, utilizing various platforms such as Github and Trello to maximize the workflow. The team was full of diverse and talented individuals. In the end, all the work was done in a timely manner.
Lucas McGrew
Co-founder & CIO at SumatraWith Incora's support, we were delivered a polished console experience and quickly iterate new features to market. We have been very impressed with the level of Incora's communication. In my previous experience, this has been one of the biggest challenges in working with off shore development teams, but everyone we have worked with at Incora has had impeccable communication skills, both written and on Zoom calls.
Fred Macedo
Head of Engineering, AriztoIncora has been great at understanding our company and the work we want to do. They took the time to understand who we were and didn’t rush or make suggestions that didn’t make sense. They keep delivering what they promise and are very helpful and easy to work with — there haven't been any complications. I don't think there's anything they can improve on — they’re getting better and better over time. Just tell them what you want, and they'll try to work around your expectations.
An MCP server is a program that exposes your systems to AI clients as tools they can call, using the Model Context Protocol that Claude, ChatGPT, and Cursor support. It is how a model goes from talking about your data to actually reading and acting on it, through tools you define and control.
Off-the-shelf servers cover generic tools, but your systems, permissions, and workflows are specific. A custom MCP server exposes exactly the actions you want, with the access rules you need, so the model is both useful and safe.
A generic server also tends to expose too much, which leads to incorrect tool calls and security objections. We scope a custom MCP server development project to your real tasks, so the toolset stays small, clear, and auditable. That is what keeps the model reliable and your security team comfortable.
A custom-built MCP server typically costs from about $15,000 for a focused server with a handful of tools to $80,000 or more for an enterprise server across several systems with full auth and audit. The build scales with the number of tools, the systems you connect, and your security requirements. A read-only server over one database is quick; a multi-system server with writes and approvals is more involved.
Our MCP development services scope to your budget: we start with a small, high-value toolset, prove it works, then expand. A single-system server is far cheaper than one that spans your CRM, database, and ticketing all at once.
The return comes from the work AI can finally do: real tasks in your systems, done safely, instead of copy-paste between a chat window and your tools. The server pays for itself in the hours it removes from everyday work. Most teams start with the system that would save the most time, prove the value there, then connect the next one.
We keep an MCP server secure with scoped permissions, authentication, least-privilege access, and full audit logging on every tool call. The model only reaches the specific actions you approve, and every call is recorded for review. If a tool is ever misused, you can see it and shut it off in seconds.
We expose a small set of purposeful tools rather than a whole API, so there is less to misuse. An enterprise MCP server also gets role-based access, approval gates on sensitive actions, and an off switch, so your security team can see and stop anything.
Sensitive writes sit behind explicit permission, and reads respect the same access rules your users already have. We review the whole design with your security team before it goes live, so nothing ships without sign-off. The audit log then gives them ongoing visibility into every call, with the detail they need for review or incident response.
Yes. We build remote MCP servers with standard transport and authentication, so your whole team, and your customers, can use them from any supported AI client. A remote server means no per-laptop setup and one place to manage access and updates. New team members get access without installing anything.
This is how our MCP server development services turn an internal experiment into shared infrastructure. Each user or customer gets scoped access, so the same server serves many people without mixing their data. One deployment covers your whole org.
For a product play, the same approach exposes your product to AI clients, with per-customer isolation and usage logging. You ship once, and everyone reaches it through the client they already use. Access, updates, and monitoring all live in one place, so the server scales with your team instead of fragmenting across laptops.
Got an idea in mind? Drop us a line and we’ll turn the vision into reality with the custom approach!