Every team wants agents that act on real systems; few want an agent with unaudited write access to production. MCP done right closes that gap — structured tools, scoped permissions, injection-aware design, and observability. That production discipline is what I bring, from years of payments-grade engineering at Amazon and a live agentic product of my own.
What You Can Hire Me to Build
MCP development for production, not demos
Custom MCP servers
Servers exposing your databases, APIs, documents, and internal tools — designed for agent reliability.
Tool & resource design
Tools agents can actually use well: clear contracts, validated I/O, and errors agents can recover from.
Permissions & safety
Least-privilege scopes, secrets handling, injection-aware tool results, and audit logging.
Agent integration
Wiring MCP into LangGraph, Claude, OpenAI, and custom stacks — including A2A multi-agent setups.
Evals for tools
Proving tools behave before production: eval suites for tool selection, arguments, and outcomes.
MCP security review
An existing MCP setup, hardened: permission scope, injection surfaces, worst-case analysis.
Engagement Models
MCP Server Build
A production MCP server for your systems.
- Design through deployment
- Permissions and audit built in
- Docs + handover to your team
Integration Sprint
Your existing agent, connected to real tools.
- MCP + LangGraph wiring
- Evals before production
- 1–3 week scoped sprint
Build + Train
I build it, then teach your team to own it.
- Production MCP server delivered
- MCP training for your engineers
- See also: MCP Training
Frequently Asked Questions
What is MCP development?
Building Model Context Protocol servers that expose your systems to LLM agents in a structured, permissioned way — the difference between an agent you can trust with production access and one you can't.
Why hire an MCP developer instead of building in-house?
The failure modes are non-obvious: over-broad permissions, injection through tool results, missing audit trails. I build with production patterns and can train your team to own it.
Can you integrate MCP with our existing agent stack?
Yes — LangGraph, LangChain, Claude, OpenAI, and custom frameworks, with evals proving tools behave before production.
Do you review MCP security and permissions?
Yes — permission scope, injection surfaces, secrets, audit logging, and worst-case analysis, ending with a prioritized hardening list.
Related Pages
MCP Training →
Learn to build MCP servers yourselves.
Hire an Agentic AI Developer →
The full agent system, not just the tools.
AI Consulting →
Architecture reviews and Fractional CTO.
MCP Workshop →
A hands-on MCP server workshop for your team.