Build vs buy: should your business build its own MCP server?
How to decide between building a custom MCP server in-house, using a no-code MCP bridge, or hiring a done-for-you build, with the real costs that show up after launch.
Updated
The three options
No-code bridge: a hosted product turns an existing API into MCP tools. It is the fastest start when the system has a clean API and the data is low risk, but tools tend to mirror the API, and access often runs through one shared key.
In-house build: your developers use the official MCP SDKs. You get full control and no vendor dependency, at the cost of your team learning OAuth for MCP, tool design, hosting, and keeping up with the specification.
Done-for-you: a specialist scopes, builds, hosts, and maintains the server for you. You trade some control for speed and for not adding another system to your team's on-call list.
The costs that show up after launch
The first version is rarely the expensive part. These are:
- Hosting, uptime, and certificates for a public HTTPS endpoint
- OAuth setup and per-user permission checks that pass a security review
- Tool descriptions retuned as people find questions the server answers badly
- Protocol and client changes from Anthropic and OpenAI
- Source system API changes, rate limits, and outages
- New tools as more teams ask for access
A simple way to decide
Choose a no-code bridge if the API is clean, the data is not sensitive, and a shared credential is acceptable. Build in-house if you have developers who want to own an MCP server for years. Choose done-for-you if the connector touches sensitive data, spans more than one system, needs per-user access, or simply has to be live this quarter without pulling engineers off other work.
Whichever you pick, insist on owning the code and configuration, on read-only defaults, and on server-side authorization. Those three decide whether you can trust and keep what you built.
Sources
- Model Context Protocol specification
- Model Context Protocol: Authorization
- Anthropic: Get started with custom connectors using remote MCP
Plan rules and product names from Anthropic and OpenAI change often. Check the linked documentation for your plan before you plan a rollout.