Available for new projects

I Build Custom
MCP Servers

Connect your business tools, APIs, and databases directly to AI assistants like Claude, Cursor, and VS Code Copilot. Your AI gets real-time access to your data — no copy-pasting, no middleware, no workarounds.

13
MCP Servers in Production
45
API Endpoints Live
1-3d
Typical Turnaround

What is MCP?

Model Context Protocol (MCP) is an open standard released by Anthropic in late 2024. It gives AI assistants a structured way to access external tools and data sources — think of it as a USB-C port for AI.

Before MCP, connecting an AI to your CRM, database, or internal API meant building fragile, one-off integrations. MCP standardizes that connection so any compatible AI client can use your tools instantly.

This is the infrastructure layer that turns AI assistants from chatbots into operational tools for your business.

Your Tools & Data
CRMs, databases, APIs, internal systems
MCP Server
The bridge I build for you
AI Assistants
Claude, Cursor, VS Code Copilot

What I Build

End-to-end MCP server development. From scoping your integration to deploying a production-ready server your AI tools can use immediately.

Custom MCP Servers

Purpose-built servers that expose your APIs, databases, and business logic as MCP tools. Your AI assistant calls them natively — no extra steps.

TypeScript Node.js REST / GraphQL

API Integrations

Connect third-party APIs to your AI workflow. I handle authentication, rate limiting, error handling, and data transformation so the AI gets clean, usable responses.

OAuth Webhooks Rate Limiting

Data Connectors

Give your AI real-time access to databases, data warehouses, and internal data stores. Read, query, and surface insights without leaving the AI interface.

PostgreSQL MongoDB Supabase

Web Scrapers

When there is no API, I build scrapers that extract data from websites and feed it into your AI through MCP. Government portals, competitor sites, public records.

Playwright Cheerio Apify

Deployment & Hosting

I deploy your server to Apify, AWS, or your own infrastructure. Includes monitoring, error alerting, and documentation so your team can maintain it.

Apify AWS Docker

Consulting & Architecture

Not sure what MCP can do for your team? I will audit your toolstack, identify high-value integration points, and design an MCP strategy that fits your workflow.

Audit Strategy Architecture

Production MCP Servers

13 MCP servers deployed on Apify, backed by 16 data scrapers and a unified REST gateway. All live, all serving real requests.

Core Data Servers Tier 1

us-safety-recalls
NHTSA + FDA recall data with real-time search and filtering
natural-disaster-intel
FEMA, NOAA, and USGS disaster alerts, weather, and seismic data
federal-financial-intel
SEC filings, BLS employment stats, and CFPB complaint data
immigration-travel
Visa bulletin data and border wait times from CBP
environmental-compliance
EPA air quality index and environmental monitoring data

Extended Data Servers Tier 2

gov-contracts
Federal procurement and government contract opportunities
court-records
Federal court case records and judicial proceedings
public-health
NIH clinical trials and public health datasets
business-entity
Business registration and entity lookup tools

AI Agent Tools Tier 3

regulatory-monitor
Track regulatory changes and compliance requirements
grant-finder
Search and match federal grant opportunities
competitive-intel
Market intelligence and competitive analysis data

Cybersecurity Tier 4

cybersecurity-vuln
NVD, CISA KEV, EPSS, and MITRE ATT&CK enriched vulnerability intelligence
13
MCP Servers
16
Data Scrapers
45
REST Endpoints
29
Total Actors

How It Works

Three steps from idea to a working MCP server your AI assistant can use.

01

Describe Your Tool

Tell me what system you want to connect — a CRM, internal API, database, third-party service, or even a website with no API. I will scope the integration, identify the right approach, and give you a timeline.

02

I Build the Server

I write a production-ready MCP server in TypeScript with proper error handling, input validation, rate limiting, and documentation. Typical turnaround is 1 to 3 business days.

03

Connect and Use

I deploy the server and walk you through connecting it to Claude, Cursor, VS Code Copilot, or any MCP-compatible client. Your AI instantly has access to your tools.

Simple, Transparent Pricing

Flat rates per server. No hourly billing, no surprise invoices. You know the cost before I start.

Standard
$500
Single tool or API integration
  • One MCP server with up to 5 tools
  • REST API or database connector
  • Error handling and input validation
  • Deployment to Apify or your infra
  • Setup documentation included
  • 1 round of revisions
Get Started
Enterprise
Custom
Full MCP infrastructure buildout
  • Multiple MCP servers
  • Custom scraper development
  • REST gateway with unified API
  • CI/CD pipeline setup
  • Architecture consulting
  • Ongoing maintenance available
  • Dedicated Slack/Teams channel
Contact Me

All prices are per-project. Need something that does not fit these tiers? Reach out and I will put together a custom quote.

Let's Build Something

Have a tool you want connected to AI? Describe the integration and I will get back to you within 24 hours with a scope and timeline.

Response Time
Within 24 hours
Location
Boise, ID — Remote Worldwide

Message Sent

Thanks for reaching out. I will get back to you within 24 hours.