Buyer guide
Hiring an MCP developer: what to ask and what it costs
MCP is young enough that almost nobody has years of experience in it, but the difference between a developer who understands connectors and one who has only shipped generic API work shows up fast in the right questions.
Hire an MCP developer when Claude needs to work inside a tool that has no connector, or a connector that falls short, and nobody on your team can own the build. The interview should test connector-specific judgment: read and write tool separation, gating on destructive actions, per-user OAuth, and who owns maintenance when the API changes.
Key takeaways
- You need an MCP developer when the connector directory has a gap for your tool and no in-house engineer can own the build and its maintenance.
- The interview questions that matter are about judgment, not syntax: tool separation, confirmation gates, and authenticating as each user rather than a shared account.
- The biggest red flag is a developer who treats the connector as a one-time deliverable with no answer for who fixes it when the vendor changes the API.
- Cost is driven by scope, not a market rate: API complexity, auth, write access, custom schema mapping, hosting, and who owns maintenance.
When do you actually need to hire an MCP developer?
You need an MCP developer when Claude has to work inside a tool with no connector, or a connector that is read-only or blind to your customized setup, and you have no engineer with the time to build and own one. If a directory connector already covers your reads and writes, hire nobody.
The decision has two gates. First, coverage: check whether a built-in or directory connector already does what you need, because if it does, the cheapest developer is no developer. Second, ownership: even if the gap is real, an engineer on your own team who can build and maintain the server is usually the better answer than an outside hire.
Hiring makes sense in the gap between those two: the tool matters, no connector covers it, and internal capacity is not there. That describes a lot of teams, because most business tools still have no Claude connector at all, and in-house and legacy systems never will unless someone builds one.
What interview questions separate MCP experience from generic API work?
Ask how they separate read tools from write tools, how they gate destructive actions like `delete` and `send`, how each user authenticates as themselves rather than through one shared key, and who owns the server when the vendor changes its API. A generic API developer can wire endpoints; an MCP developer designs for an AI operating them.
MCP servers are not hard to write, so the technical bar is not the filter. The filter is whether the candidate has thought about what it means for a model, not a human, to be the caller. Questions that surface that:
- How do you decide which actions become tools, and how do you keep read and write tools separate?
- Which actions do you gate behind human confirmation, and how does that gate work in practice?
- How does a whole team use one connector while each person keeps their own permissions?
- When the vendor deprecates an endpoint or changes auth six months in, who notices and who fixes it?
- How do you keep a write tool from guessing at fields your schema does not have?
Strong answers mention OAuth flows where each user signs in as themselves, confirmation gates on destructive actions as a default rather than an option, and validation against your real schema. Weak answers describe a REST wrapper with one API key and no plan past launch.
What are the red flags when hiring an MCP developer?
The main red flags are a shared API key instead of per-user authentication, no distinction between read and write tools, no confirmation gates on destructive actions, no hosting plan beyond your laptop, and no answer for maintenance. Any one of these means you are buying a demo, not a connector your team can rely on.
A shared credential is the most common shortcut. It works in a demo and fails in an organization, because every user inherits the same access and the audit trail points at one account. A team connector should authenticate each user as themselves so permissions stay honest.
The second shortcut is treating the build as done at handoff. A connector talks to a live API that will change, and a developer who has not priced or planned for that is handing the decay to you.
The demo trap
A connector that works in a screen recording and a connector a team can rely on are different products. The gap between them is auth, gating, hosting, and maintenance, which is exactly where shortcuts hide.
What does hiring an MCP developer cost?
There is no established market rate for MCP work, so cost comes down to scope: how many tools, whether writes are involved, how complex the API and auth are, whether your schema needs custom mapping, and who hosts and maintains the result. Any quote you get should be explainable in those terms.
Rather than quoting numbers nobody can verify, price the work by what drives it. A read-only connector to a clean, documented API is the small end. Write access adds scoping, validation, and gating work. An undocumented in-house API adds discovery. Team-wide use adds hosting and OAuth. Maintenance is a standing cost, not a footnote.
The one public number we can offer as a reference point is our own: done-for-you builds start at $5,000 one time, with hosting and maintenance from $500 per month, and most builds live in about two weeks. Whatever a candidate quotes, the useful comparison is not against a rate card but against whether their scope covers the same things: build, hosting, and ownership of changes.
We wrote a fuller breakdown of what moves these quotes in how much a custom AI integration should cost.
Is a done-for-you service an alternative to hiring?
Yes. Instead of hiring a developer and managing the project, a done-for-you service takes the outcome: one party scopes, builds, hosts, and maintains the connector. You give up picking the engineer and owning the code in exchange for a single accountable owner and safety defaults you would otherwise have to specify yourself.
Full disclosure: this is the model we sell at Custom Connectors, so weigh this section with that in mind. The honest comparison is about who carries which risk. Hiring puts you in charge of vetting MCP judgment, reviewing the architecture, and arranging maintenance. A service bundles those into one scope, with the tradeoff that you are choosing a provider rather than a person.
Hiring is the better path when you want to own the code long term, have someone technical to direct the work, or are building connectors as an ongoing internal capability. The service is the better path when you want the connector working and maintained without running an engineering project to get there. The broader set of options, including in-house builds and managed platforms, is laid out in where to get a custom MCP connector built.