MCP Integration Specialist
Your AI agents are useless without real data.
I build MCP servers that connect Claude, ChatGPT, and other AI agents to your databases, APIs, and CRMs. Ship in 3–5 days. $2,500–$5,000.
Based in Dallas. Available for remote work worldwide.
What it looks like
See Claude talking to a real database in 90 seconds.
Static preview. Live recording in progress — book a call to see the real thing in action.
What I build
Two services. One thesis: AI agents need real systems to be useful.
MCP Integration
3–5 day sprints, $2,500–$5,000
- Custom MCP servers for your stack
- Postgres, REST APIs, GraphQL, Stripe, internal tools
- Authentication, audit logging, security baked in
- Source code delivered, fully documented
Fractional DevOps
$5,000–$10,000/month retainers
- CI/CD, cloud infrastructure, monitoring
- AWS, GCP, Azure, Kubernetes
- Cost optimization and security audits
- Embedded with your team, async-friendly
The process
From “I have an idea” to “shipped” in 5 days.
20-min architecture review
We talk. You explain the system you want connected. I tell you what’s possible, what’s not, and what it’ll cost. No fluff.
Scope & deposit
I send a one-page scope document. You approve. Pay 50% deposit. I start.
Build
I build the MCP server. You get daily updates. I push to your GitHub or mine — your choice.
Ship & handoff
Live demo, documentation, source code handover. Pay remaining 50%. Done.
Why MCP
AI is everywhere. Real integrations are rare.
Most teams plug AI into chat windows, marvel at the demos, then realize: it can’t actually do anything. It can’t query the database. It can’t read the CRM. It can’t book a meeting. It hallucinates because it has no real grounding.
MCP — the Model Context Protocol — is Anthropic’s open standard for connecting AI agents to real systems. With a properly built MCP server, your AI agent can query live data, take real actions, and stop guessing. That’s what I build.
Pricing
Transparent. No “contact us for a quote.”
MCP Sprint Lite
- 1 integration (one database OR one API)
- Basic auth + logging
- Source code + documentation
- 1 round of revisions
- Best for: proof of concept, early experimentation
Most popular
MCP Sprint Standard
- Up to 3 integrations
- Production-grade auth, audit logging, error handling
- Source code + documentation + Loom walkthrough
- 2 rounds of revisions
- 30 days of email support
- Best for: real production use cases
MCP Full Package
- Multi-system integrations, custom architecture
- Dedicated infrastructure setup
- Production deployment + monitoring
- 90 days of support
- Best for: complex, business-critical integrations
Not sure which tier fits? Book a 20-min review →
Who
Built by an SRE who ships.
I’m Habeeb. I work as a Site Reliability Engineer at a quantitative finance firm in Dallas. I’ve spent the last decade building cloud infrastructure, automating engineering teams, and shipping software at scale.
Pleesh is what I do on the side — and increasingly, what I do full-time. I focus on MCP because it’s the missing link between AI hype and AI usefulness. Most consultants are still figuring out what MCP even is. I’ve already shipped multiple production servers.
FAQ
Common questions.
What’s MCP?
Model Context Protocol. It’s an open standard from Anthropic that lets AI agents (like Claude) talk to external systems through a structured interface. Think of it as a USB port for AI.
Do I need to use Claude?
No. MCP is open. It works with Claude, ChatGPT (with adapters), Cursor, and any AI agent that supports the standard. The protocol is designed to be vendor-neutral.
Will the code work after the engagement ends?
Yes. You own the source code. It’s built on open standards. There’s no licensing trap.
What if my use case is unusual?
Book a 20-min review. If it’s something I can’t do or shouldn’t do, I’ll say so. I won’t take on work I can’t deliver.
Where are you based?
Dallas, Texas. I work async-first. Most clients are in the US, but I work globally.
Do you do retainers?
Yes. After 1–2 sprints, many clients move to a $3,000–$5,000/month MCP retainer for ongoing improvements. Or step up to fractional DevOps if their needs go broader.
Stop watching AI demos. Start shipping AI features.
20-minute architecture review. Free. No sales pitch.