Build an MCP Server
Connect Your Systems to AI Assistants
I design and build custom MCP servers that give Claude, Cursor, ChatGPT and your own agents safe, audited access to the tools and data they need—nothing more.
Custom Tool Servers
Typed tools for create, read, update and search against your SaaS stack or internal services. Designed so models succeed on the first try more often than not.
- Zod / JSON Schema input validation
- Idempotent write tools where possible
- Clear error messages for the model
- Resource listings for docs and configs
Auth, Tenancy & Least Privilege
Each deployment runs with a dedicated identity. Tools are filtered by role. Secrets stay in the server environment, never in the prompt.
- OAuth / API key / mTLS options
- Per-tool allow lists
- Tenant isolation for multi-customer data
- Secret management via your vault
Observability & Audit
Every tool invocation is logged with actor, args (redacted) and outcome so security and support can reconstruct what an agent did.
- Structured request logs
- Rate limiting and quotas
- Anomaly alerts on write volume
- Optional human approval hooks
Client Setup & Docs
Working configs for Claude Desktop, Cursor and HTTP-transported remote clients, plus a short runbook for your team.
- Local stdio and remote HTTP transports
- Install instructions for non-engineers
- Smoke-test checklist
- Versioning strategy for tool changes
What You Get
- Production-ready MCP server (TypeScript, or Ruby inside your Rails app)
- Tool catalog with auth model documented
- Client config snippets for your AI tools
- Audit logging and basic metrics
- Hardening review against prompt-injection via tools
How an Engagement Works
1. Map the tools
List the actions an assistant should take and which systems own them.
2. Threat model
Decide what must never be callable, what needs approval and how secrets flow.
3. Build & test
Implement tools, write contract tests, try them in Claude/Cursor against staging.
4. Deploy & hand off
Ship with logging, document ops, train your team on safe usage.
Building it yourself? Start with the step-by-step guide.
Frequently Asked Questions
What is an MCP server?
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A Model Context Protocol server exposes tools and resources so AI clients (Claude Desktop, Cursor, ChatGPT connectors, custom agents) can call your APIs and read selected data through a standard interface.
When should I build a custom MCP server?
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When you want assistants to act on internal systems with clear permissions—CRM, ticketing, inventory, admin APIs—without pasting secrets into prompts or giving an LLM unrestricted access.
How do you handle authentication and safety?
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Servers authenticate as a service identity, tools are scoped to the minimum actions needed, destructive operations require confirmation, and every tool call is audited.
Can you wrap our existing REST or GraphQL APIs?
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Yes. Most MCP servers are thin, well-typed adapters over systems you already run, with input validation and error mapping so the model gets predictable responses.
Book a Free 30-Minute Consult
Tell me what you're building or what's stuck. I'll reply with next steps, usually within one business day.
Get In Touch
Why Choose Me?
- 10 years shipping production software
- 5 long-term fractional clients, most for 2+ years
- AI agents, MCP servers, Rails + React
- Based in Salt Lake City, working remotely US-wide