MCP Server Development
Expose your systems, data, and tools to Claude and AI agents as a secure MCP server — with auth, access control, and logging.
We expose your systems, data, and tools to Claude and other AI agents as a secure MCP server — so agents can actually use your product instead of guessing about it. MCP is auth, transport, and API design done right: your tools, safely callable, with access control and logging, not a scraped approximation.
What you get
- ✓Your systems and APIs exposed to AI agents as a secure, standards-compliant MCP server
- ✓Auth, scoped access, and logging so agents get exactly the access you allow
- ✓Deployment on your infrastructure with docs your team can extend
Who it's for
- —SaaS teams that want their product usable by Claude and AI agents
- —Internal platform teams standardizing how agents reach company tools
- —Companies whose data lives behind APIs that agents currently can't touch
How we work
A real engagement, week by week.
- 1Week 1
Surface + auth design
- Decide which tools and data to expose — and which never to
- Design auth, scopes, and rate limits per tool
- Map the MCP transport and API contracts
- 2Week 2
Build the server
- Implement the MCP server over your systems and APIs
- Add access control, input validation, and structured logging
- Test tool-calling against a real agent
- 3Week 3–4
Harden + deploy
- Add multi-tenant isolation and cost / access controls where scoped
- Deploy on your infra with monitoring
- Hand over docs so your team can add tools
Why us
Why us.
Senior backend is our lane — MCP is auth, transport, and API design, exactly the hard part the wrapper crowd skips.
We run our own gateway and tooling, so this is a pattern we operate, not one we're learning on your dime.
Qualified MCP supply is near-zero right now — a timing wedge, and we're already deep in it.
Common questions
Things prospects ask first.
Any system with an API — your product, internal tools, databases behind a service layer. We design exactly which tools and scopes agents can reach, and which they can't.
That's the core of the work: auth, scoped access, validation, logging, and multi-tenant isolation where needed. We treat it as a production API, not a demo endpoint.
Yes. MCP is the standard Claude uses; we build to spec so it works with Claude and other MCP-compatible agents.
Also booking now
- →AI Agents & RAG ChatbotsProduction RAG agents grounded in your real data, with tool-calling and a measured hallucination rate.
- →AI Agent Reliability & EvalsOn-call reliability, eval suites, observability, and model/cost optimization for production AI agents.
- →AI Integration for Existing SoftwareLLM features inside a real backend: streaming, auth, rate limits, retries, fallback, and cost control.
Ready to start this?
20-minute scoping call. We'll tell you straight whether it's a fit.