Your customers are already asking Claude and ChatGPT to do work in your product. Be the app they reach for. GetMCP turns the API you already maintain into a production-grade MCP server — without a side-project to staff or a protocol to track.
When users ask an assistant to "create a sprint in Linear" or "draft a refund email," the assistant calls the app that ships an MCP server first. Distribution is being decided right now — and most SaaS hasn't shipped yet.
Apps without MCP get summarized at best. Apps with MCP get used. The assistant routes the user's intent to your tools, attributes the call to your brand, and brings them back.
Skip the spec reading, the protocol terminator, the audit pass, the analytics build. Map your endpoints once; iterate on which tools to expose without rewriting any plumbing.
Per-tool scopes, per-client rate limits, auth pass-through, retries with backoff, and full audit logs. The boring parts of "is this safe to expose?" are already done.
Every imported tool is yours to edit. Rename the args, redact a field, add a transform, deprecate a version — without forking the plugin or learning a DSL.
Building an MCP server in-house is doable. Maintaining one as the spec evolves is the harder, longer commitment.
| In-house build | GetMCP | |
|---|---|---|
| Time to first server | 4–8 weeks | ✓ Same day |
| Protocol terminator | Maintain by hand | ✓ Plugin update |
| Tool authoring UI | Build it | ✓ Built in |
| Auth strategies | Wire each one | ✓ Four, ready |
| Rate limits & retries | Build, test, tune | ✓ Configurable |
| Logs, replay, export | Separate project | ✓ Same dashboard |
| Spec migrations | You own them | ✓ Plugin handles |
| Self-hosted, your data | ✓ Yes | ✓ Yes |
After watching dozens of teams ship, these are the patterns that turn into real adoption.
List projects, create tasks, reassign work, pull sprint summaries. The "what should I do next?" workflow.
Search tickets, draft replies, escalate, close. Ground every response in the actual ticket history.
Run saved queries, fetch dashboards, export. Plain-English questions on real numbers.
Deploy, rollback, tail logs, kick CI. First-class for AI coding assistants.
Update accounts, log activities, run plays. The "stop me from typing in the CRM" workflow.
Issue invoices, refund, look up usage. Scoped tightly so reads are open and writes are gated.