Service · MCP
MCP Server Development
Model Context Protocol servers giving AI agents typed, scoped access to your systems.
An MCP server is the contract between an AI agent and a system you would never hand it unsupervised. I build them as I have built integrations since 2022: typed inputs, scoped credentials, bounded responses, an audit trail.
Most MCP servers fail for one reason: someone exposed forty tools and an admin credential to a language model and called it an integration.
TL;DR
- The Model Context Protocol is an open standard for exposing tools and resources to AI agents.
- An MCP server wraps a system you own — a CRM, a database, an internal API — as typed tools.
- Transport is a deployment choice: stdio for a local client, streamable HTTP for a shared server.
- No shipped MCP server appears in my portfolio. This page is capability framing, and it says so.
The challenge
Teams wire an agent into a live system with a broad API key and a long tool list. Then the model calls the wrong one, the response overflows the context window, and the logs explain nothing.
What I build
MCP Server Build
Production server over your database, internal API, or SaaS account
Tool & Resource Design
Choosing what to expose and what to withhold
Auth & Scoping
Per-connection credentials, read/write separation, gates before irreversible actions
Transport & Deployment
stdio for local clients; streamable HTTP behind TLS and an identity provider
Agent & Client Wiring
Connecting the server to Claude, OpenAI-based agents, or your orchestrator
Hardening & Observability
Response caps, pagination, rate limiting, and audit logs
What is an MCP server, and why would I need one?
MCP is an open protocol letting an AI agent discover and call capabilities from an external system through one interface. An MCP server publishes those capabilities. You need one when an agent must read or change data in a system you own, with access typed, scoped, and logged.
Without a protocol, every agent integration is bespoke: a tool schema written for one framework, then rewritten for the next. MCP moves that contract into the server.
stdio or HTTP — which transport should my server use?
Use stdio when server and client share a machine: a local developer tool, a desktop assistant, anything touching local files. Use streamable HTTP when several people share one server, when it lives in your cloud, or when access sits behind an identity provider.
A stdio server is a process the client launches, with no network surface to defend. An HTTP server needs TLS, auth, rate limiting, searchable logs.
How do you stop an agent doing damage through your tools?
Scope the credential, not the prompt. Each tool gets the narrowest permission that lets it work, destructive operations stay separate from reads, every input is schema-validated before it reaches your system, and anything irreversible needs a confirmation step or is not exposed at all.
The failure modes repeat: over-broad tool surfaces that confuse the model, unscoped credentials that turn prompt injection into a breach, and payloads that blow the context window.
You have not shipped an MCP server. Why hire you?
Because an MCP server is a typed adapter over a system, and adapters are most of what I have built since 2022: a HIPAA HL7 gateway, eight CMS adapters behind one publishing interface, four registry APIs behind one marketplace. The protocol is the new part.
If you need an MCP server already in production, that is a fair filter. If you want someone who has handled rate limits, partial failures, and credential rotation, the work below is the evidence.
MCP server vs. REST adapter vs. vendor plugin
Qualitative, not benchmarked.
| Factor | MCP server | Custom REST adapter | Vendor plugin |
|---|---|---|---|
| Tool discovery | In the protocol | Hand-written per framework | Vendor's product only |
| Reuse across AI clients | Any MCP client | Rebuilt per client | One host app |
| Where auth lives | Server-side, per connection | Wherever you put it | Vendor account model |
| Best when | Several clients, same system | One agent, one job | Vendor already does it |
Tech stack
Which of my builds proves this
No shipped MCP server appears in this portfolio, and I will not imply otherwise. What is proven is the layer beneath it: adapters, message routing, third-party APIs.
OpenConnect — HIPAA HL7 IoT Gateway
HL7/FHIR gateway: 200+ patient monitors, 10,000+ clinical messages a day, 99% delivery rate.
Read case study →AI SEO Content Platform
Eight CMS adapters behind one publishing interface and 100 API routes.
Read case study →Continuity — Belgian M&A Marketplace
Four registry API integrations behind a Claude-powered matching engine.
Read case study →How we work
Most MVPs ship in 3–6 weeks; complex platforms are scoped individually once the requirements are clear.
Intro Call
A 30-minute conversation about your project, goals, and timeline. No commitment either way.
Scoped Proposal
A written scope, architecture outline, and quote. I respond to every message within 24 hours.
Weekly Demos
You see working software every week, with written progress updates in between. No black boxes.
Ship & Handover
Deployment, documentation, and a clean handover — you own everything I build.
Compliance & standards
Frequently asked questions
Do you have a shipped MCP server I can look at?
How long does building an MCP server take?
Can an MCP server connect an agent to HubSpot or Salesforce?
What are the most common ways MCP servers go wrong?
What does an MCP engagement cost?
Ready to start?
Book a free 30-minute call. No sales pitch — just a direct conversation about your project.
Book Free CallOr email: contact@waseemahmad.dev