MCP Development Services
Your Product Can Talk to AI Agents. It Just Needs an MCP Server Built Right.
Customers are already asking for AI-assistant support, or your platform team is staring down its fifth vendor MCP server with no plan to secure or maintain any of them. Concret.io builds, secures, and hosts production MCP servers, so you ship the right one the first time.
One Server. Any Compatible AI Client.
Built once, used by every client below
Why Teams Trust Concret.io to Build This
The Standard
What Is MCP?
MCP, the Model Context Protocol, is a single standard way for AI models to reach your tools and data: build the connection once, and Claude, ChatGPT, Cursor, and every other MCP-compatible client can use it without new integration work.
Tools
Things the AI can run: actions it can trigger against your product or systems.
Resources
Things the AI can read: the live data it pulls in instead of guessing.
Prompts
Ready-made instructions that package up a common task for the AI to run.
One server. Any compatible AI client. Built once.
The Shift
The Old Way vs. the MCP Way
If you've ever scoped a new AI integration and watched the estimate balloon the moment a second client or a second system entered the conversation, this table is why.
| The Old Way | The MCP Way | |
|---|---|---|
| Connections | A custom, brittle connection for every AI client and every tool | One connection, built once, used by any MCP-compatible client |
| Data grounding | AI stuck guessing from old training data | AI reaches your live data and systems directly |
| Access & audit | No real control over what the AI can see or touch | Scoped tools, per-tenant permissions, and a logged record of every call |
How It Works
How MCP Actually Works
Before you hire anyone to build this, it helps to know the three moving pieces and how a single request actually travels between them.
Host
Where the request starts.The AI application your team or your customers already use:
This is where the person's actual request starts.
Client
Speaks JSON-RPC.The connector inside that host application, handling the back-and-forth with your server as:
So neither side has to guess the other's format.
Server
What we build for you.Exposes a small, well-described set of:
Nothing beyond what you've explicitly scoped for this specific job.
Transports
| Transport | What It Means |
|---|---|
| Stdio | A fast, local connection for tools running on the same machine as the AI client, with almost no added latency. |
| Streamable HTTP | A cloud connection so any hosted client can reach your server, authenticated on every single request. |
What Goes Wrong
Four Ways a Rushed MCP Build Goes Wrong
The Agent Loop of Death
Too many overlapping tools, and the AI can't tell them apart.
It burns tokens and money calling the wrong one, then the right one, then the wrong one again. The bill shows up before anyone notices the pattern.
Context Window Poisoning
More raw data doesn't mean better answers.
A server that dumps your whole API surface into the model's context instead of a handful of well-described tools makes every response worse, not better.
The Latency Wall
No caching layer turns every AI question into a slow round trip.
A server with no caching or data layer in front of it hits a system that was never built for that traffic. Users notice the lag long before your team finds the root cause.
The Compliance Whiplash
No audit log means no answer when an auditor asks.
A server with no per-tenant scoping or audit log means the day an auditor or a customer's security team asks to see the source data behind an AI decision, nobody can answer. By then it's too late to retrofit.
MCP Development Services
MCP Development Services, Scoped to Where You Are
Whether you're shipping a customer-facing MCP server for the first time or untangling several vendor MCP servers nobody owns, our MCP development services cover the full path from first build to long-term operation, not just the part that demos well.
Custom MCP Server Development
Task-shaped tools built around your product or systems, not a lazy one-to-one wrapper of your existing API.
Discuss this serviceSecurity & Governance
OAuth 2.1, per-tenant scoping, feature-gated tools, and an audit log on every call, from version one.
Discuss this serviceLegacy System & Tool Migration
Connecting the internal databases and homegrown tools that have no public API and never will.
Discuss this serviceCloud Hosting & Performance Tuning
Deploying your server so it survives real traffic, with the caching and rate limits a demo never needed.
Discuss this serviceMCP Strategy Consulting
An honest build-vs-buy read on your specific systems and roadmap, before anyone writes a line of code.
Discuss this serviceBusiness Impact
What Getting MCP Right Actually Changes
None of this is abstract. Each row below is a specific, recurring cost we see teams pay when MCP is treated as a side project instead of production infrastructure.
| Challenge | The MCP Fix | Bottom-Line Impact |
|---|---|---|
| A new AI integration used to take weeks per system | One server, built once, reused across every compatible AI client | Fewer engineering hours on plumbing, more on the product |
| AI answers based on stale or guessed data | AI reaches your live systems directly through scoped tools | Fewer wrong answers, decisions your team can actually trust |
| No one can explain what the AI touched or why | Every tool call scoped, logged, and attributable to a user | An audit trail your security team can stand behind |
Build vs. Buy
Should You Build This Yourself?
This is not a trick question, and the honest answer depends on your scope. Here's the framework we walk every prospective client through before quoting anything.
| DIY / Open-Source Server | Custom With Concret.io | |
|---|---|---|
| Best fit | One simple integration with an engineer who can own it long-term | Multi-tenant auth, several systems, or a server your product depends on daily |
| Security & audit | Fast to try, but auth, rate limits, and audit logging are on you to build | OAuth 2.1, scoping, and audit logging built in from the first version |
| Where it holds up | Works until your first real customer asks a hard question about data access | Designed to survive that hard question from day one |
If you're not sure which column describes you, that's exactly what the first conversation with us is for.
Where This Is Headed
Multi-Agent Teams
The next wave isn't one AI assistant calling one tool. It's teams of specialized agents, one that reads your data, one that drafts the response, one that checks the work, all sharing the same MCP servers instead of each one needing its own custom connection. Building your server with clean, well-scoped tools now means it's ready for that world without a rebuild later, when the cost of redoing it will be higher, not lower.
FAQ
Got Questions? We Have Answers
Straight answers on data, security, timeline, and cost, before you ever get on a call.
Still have questions?01Does using MCP mean an AI company owns our data?
No. MCP is a connection standard, not a data pipeline to a vendor. Your data stays on your own infrastructure the whole time; the AI only ever sees what a specific, scoped tool call is allowed to return.
02Do we need to hire an MCP developer, or can your team just build it?
Most clients skip the hire entirely. We scope, build, and hand off a production server with full documentation, so you're not stuck competing for scarce MCP talent just to keep it running afterward.
03Can this work with local or open-source AI models, not just Claude or ChatGPT?
Yes. MCP is an open standard, not tied to one vendor. It works with hosted models and with locally run models through tools like Ollama, using the same server you'd build for any other client.
04What language do you build MCP servers in?
Mostly Python and TypeScript, the two most mature MCP SDKs available today, matched to your existing stack wherever that's possible instead of forcing a new one on your team.
05How is this different from your MCP integration services?
If you already have several MCP servers live and need to secure or unify them under one governed layer, that's our MCP integration services work. This page covers building new MCP tools and servers, from your first one through migration and hosting.
06How long does a first MCP server actually take?
A focused, single-system server typically ships in 2 to 4 weeks. Multi-system builds with full auth and compliance work usually run 6 to 14 weeks. We'll give you a real number after a short scoping call, not a guess before one.
07What does an engagement actually cost?
It depends on how many systems you're connecting and how strict your auth and compliance requirements are, so we scope before quoting rather than publishing a one-size number that fits nobody's actual project.
Get Started
Ready to Build the MCP Server Your Product Actually Needs?
Tell us what you're trying to connect. We'll tell you honestly whether to build it, buy it, or wait, and what it actually costs either way, before you commit a single engineering hour to finding out yourself.