MCP Integration

Service 1 / MCP Integration

I build MCP servers. You get AI that actually does things.

From idea to shipped in 3–5 days. No vendor lock-in. No black box. Just clean, documented code that connects your AI agents to the systems they need.

What’s included

  • A custom MCP server, written in TypeScript or Python (your choice)
  • Authentication and authorization (OAuth, API keys, JWT — appropriate to your stack)
  • Audit logging for every action the AI takes
  • Error handling and graceful degradation
  • Unit tests covering core flows
  • Comprehensive README and usage documentation
  • Loom walkthrough recording (Standard tier and above)
  • Source code delivered to your GitHub or repository of choice
  • 30 days of email support (Standard tier and above)
  • Optional: Production deployment to your cloud (Full Package tier)

Stacks I work with

Languages
TypeScript, Python, Go

Databases
Postgres, MySQL, MongoDB, Supabase, Snowflake, BigQuery

APIs
REST, GraphQL, gRPC

SaaS
Stripe, HubSpot, Salesforce, Notion, Linear, Slack, GitHub, Jira

Cloud
AWS, GCP, Azure

AI clients
Claude Desktop, Cursor, Continue, custom agents

If your use case isn’t here, ask. I likely cover it.

Live demos

Postgres MCP server

Claude querying a real e-commerce database.

GitHub →

Stripe MCP server

Claude listing customers, creating invoices, processing refunds.

GitHub → [ TODO: link ]

REST API MCP server

Claude calling an internal team’s API as if it were a tool.

GitHub → [ TODO: link ]

Pricing tiers

Sprint Lite

$2,500
3 days
  • 1 integration
  • Basic auth (API key or shared secret)
  • Standard logging
  • Source code + README
  • 1 revision round
  • Email support during sprint

Full Package

$7,500–$15,000
2–3 weeks
  • Multi-system integrations
  • Custom architecture and deployment
  • Production-grade infrastructure setup
  • Monitoring + alerting
  • 90 days of support
  • Optional retainer afterward

Discuss your use case →

FAQ

Will it work with self-hosted models like Llama?

Yes — MCP is transport-agnostic. As long as the AI client speaks MCP (or a thin adapter does), the server doesn’t care whether the model is hosted by Anthropic, OpenAI, or running on your own GPU.

Can you work in a regulated industry (HIPAA, SOC 2)?

Yes for SOC 2-aligned engineering practices. For HIPAA: I can build to BAA-friendly architectures, but the BAA itself sits between you and your cloud provider — I’m not the covered entity.

Do you sign NDAs?

Yes. Standard mutual NDA, I’ll send you mine or sign yours.

What about PII / sensitive data?

Audit logging captures every tool call, parameter, and result hash. PII redaction at the MCP-server boundary is built in by default for Standard and Full Package tiers.

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.

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.

Stop watching AI demos. Start shipping AI features.

20-minute architecture review. Free. No sales pitch.