A remote MCP server with ten to twenty task-shaped tools, written for models to read, secured like the public API it is.
Top ten customer jobs become ten tools.
Thin server on your API with the official SDK.
Scoped auth, validation, injection testing.
An agent runs real tasks; descriptions fixed until it passes.
| Tier | Scope | Timeline | Price |
|---|---|---|---|
| Read-only server | Search and fetch tools | 1–2 weeks | $5k – $12k |
| Full server | Read + write tools, auth, evals | 2–4 weeks | $12k – $30k |
| Platform | Multi-tenant, versioning, analytics | 4–8 weeks | $30k – $70k |
Every project starts with a written scope and a fixed price, delivered within 48 hours of your brief.
No — it sits on top and reshapes it for agents.
Remote for customers; local for developer tools.
Add tools, never change a tool’s meaning; deprecate with notice.
The Model Context Protocol explained for product and business leaders: what it is, why AI tools are adopting it, and what it means for your product.
Why building an MCP server for your product matters in 2026, what a good one exposes, how long it takes, and how we build and secure them.
Our process for shipping a production MCP server in two to four weeks — tool surface design, descriptions, auth, security testing, evals and handover.
We reply within 24 hours at hello@truecodeai.com with how we would build it.