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MCP servers that connect your product to Claude, ChatGPT, Cursor, and your own agents - built by a remote dedicated developer.
MCP Integration Services For US Product Teams A Remote Dedicated Developer
A remote dedicated developer who builds the MCP server that connects your product or internal systems to Claude, ChatGPT, Microsoft Copilot and your own agents: sign-in through Okta or Entra ID, permission-scoped tools, and the audit logs a SOC 2 review asks for. Live with your Eastern morning, invoiced monthly in USD.
MCP Server Development From Empiric Infotech LLP
Empiric Infotech LLP provides MCP integration services to US software companies and internal platform teams through a remote dedicated developer: one mid-to-senior engineer who builds your Model Context Protocol server and keeps it current as the spec and the AI clients change. MCP integration means one server that exposes your product's data and actions as tools, so Claude, ChatGPT, Microsoft Copilot Studio, Cursor and your own agents can use them without a separate integration for each. For a US company the hard parts are the ones enterprise customers check: sign-in through Okta or Microsoft Entra ID, each tool limited to what the signed-in user may see, an audit log of every tool call for your SOC 2 evidence, and data that stays in your US cloud region. Your developer joins your standup in the Eastern morning, spends the rest of the day on the tool surface and its tests, and leaves a written handover. A senior team lead reviews and tests every release. Our US AI work includes Superintelligence, a conversational AI product, and EndoDNA, a multi-tenant clinic platform that combines user permissions with an AI health assistant.
What our MCP integration services deliver for US teams
A production MCP server in your own cloud, built for the security review your largest customers will run, and kept current by the developer who built it.
Tools shaped around your product
Your REST or GraphQL API, Postgres, Snowflake or internal services exposed as a small set of well-described MCP tools and resources, designed around the tasks people ask an assistant to do rather than copied endpoint by endpoint.
Enterprise sign-in and per-user access
OAuth 2.1 as the MCP authorization spec describes, with Okta or Microsoft Entra ID as the identity provider, so every tool call runs as the signed-in user and returns only what that user may see in your product.
Audit logs for SOC 2 and customer reviews
Structured logs of who called which tool, with what inputs and what result, shipped to Datadog, Splunk or CloudWatch, plus rate limits, timeouts and alerts. Your auditor and your customers' security teams get evidence they can check.
Tested in the clients your customers use
Verified in Claude, ChatGPT connectors, Microsoft Copilot Studio, Cursor and VS Code, with setup guides your customers' admins can follow and a runbook for adding the next client.
Hosting and data in US regions
Deployed to AWS us-east-1 or us-west-2, Azure or Google Cloud in your account, with secrets in your vault and data kept in US regions. When your product holds health data, the server stays inside your BAA-covered services.
Kept current as MCP changes
The MCP spec, its authorization model and the clients that support it keep moving. Your developer tracks the changes, updates the server before a client update breaks a tool, and adds the next set of tools as your roadmap asks.
How a US MCP engagement starts
A working, authenticated MCP server in your staging environment within the first week.
A call in your morning
Thirty minutes on your time zone. Tell us which actions and data an assistant should reach, which AI clients your customers or staff use, and what your security review requires.
Tool and auth design in 24 hours
A written plan for the first tools and resources, the OAuth and identity-provider setup and the hosting, with an introduction to one developer who fits. The NDA and IP assignment are signed and our W-8BEN-E goes to your finance team.
A 7-day risk-free trial
Your developer starts within 48 hours and ships two or three authenticated tools running in Claude or the client you choose by day 7. Full refund if it is not a fit.
Monthly or hourly in USD
Monthly while the tool surface grows, hourly for a defined job such as a spec migration. One USD invoice, and seven days' notice to stop.
MCP integration pricing for US companies
Two plans, invoiced in USD, both with a senior team lead who reviews and tests every release. Monthly is a developer working full time on your MCP server for 160 to 172 hours, billed monthly upfront, with a 7-day risk-free trial. Hourly fits a bounded job, such as a security review of an existing server, a move to the current authorization spec or one new client integration. MCP work is billed hourly above our standard rate because auth and tenant isolation are specialist work; the monthly rate is the same as for any dedicated developer.
Hourly plan
- An MCP developer for the hours you book
- Suits a security review, a spec migration or one new client
- Tracked to the minute, with a weekly demo
- Your repo, your US cloud account, your identity provider
- Paid by ACH, wire or card in USD
Monthly plan
- 160 to 172 hours a month on your MCP server and its tools
- Live with your Eastern morning, with a written handover daily
- New tools, clients and spec changes as they come
- SOC 2 evidence kept current with every release
- 7-day risk-free trial; W-8BEN-E provided
Dedicated team
- An MCP developer plus an agent developer, with a senior team lead
- The server and the agent or product feature that uses it, built together
- A designer for admin and consent screens
- Extra developers start within 48 hours at the same monthly rate
The first 90 days of an MCP server with a US team
Run from your morning standup, with a written handover every day.
- Week 1
Access and a first authenticated slice
Repository and cloud access, the identity provider connected in staging, and two or three tools running as the signed-in user in Claude or the client you chose. Day 7 is the trial decision.
- Month 1
Production with audit logging
The core tools live in your US cloud with per-user permissions, rate limits, structured audit logs in your logging stack, and setup guides for your first customers or internal teams.
- Month 2
More clients, more tools
ChatGPT, Copilot Studio or Cursor added and tested, the next group of tools shipped, and evaluations that check assistants pick the right tool with the right inputs.
- Month 3
Security review and the agent side
A review against the OWASP risks for LLM applications and your customers' security questionnaires, performance work on the busiest tools, and, if you want it, the agent that uses them.
A dedicated MCP developer vs a US AI agency, a contractor marketplace, or an in-house hire
| Empiric Infotech (remote dedicated developer) | AI agency (fixed-price project) | Contractor marketplace | In-house engineer (US hire) | |
|---|---|---|---|---|
| Who builds and maintains it | One mid-to-senior developer on your server, plus a senior team lead | A project team that moves on after delivery | Whoever you hire, reviewed by you | Your employee |
| Enterprise sign-in | Okta or Entra ID through OAuth 2.1, per the MCP spec | Per the agreed spec | Depends on the contractor | As your team designs it |
| SOC 2 evidence | Audit logs and access controls built in | Often extra scope | Rarely included | Yours to build |
| When the spec or a client changes | The same developer updates the server | A new statement of work | Re-hire or renegotiate | Your team, alongside other work |
| Cost model | A flat monthly fee per developer, or hourly for bounded jobs | A fixed bid per phase | Hourly rates that vary by contractor | Salary at a $135,980 median for US software developers (BLS, May 2025), plus benefits |
| Time to start | 48 hours | Weeks: proposal, statement of work, kickoff | Days to weeks | Months of hiring |
| Paperwork | One USD invoice a month; W-8BEN-E provided | Per agency terms | 1099 forms or platform invoices | W-2 payroll and payroll tax |
The comparison describes how each option usually works, not any one provider.
Working hours and overlap with US time zones
Our team works 09:30 AM - 07:30 PM IST and a project manager is on call 07:30 AM - 11:00 PM IST, Monday to Friday. Here is exactly when that lands for clients in the US, Europe and Australia, your region first.
US Eastern (New York, Boston, Atlanta) - full team online 12:00 AM - 10:00 AM, project manager 10:00 PM - 1:30 PM (next day).Live cover across the edges of your day, your morning and your evening, with a project manager who replies the same business day.
US Pacific (Los Angeles, San Francisco, Seattle) - full team online 9:00 PM - 7:00 AM (next day), project manager 7:00 PM - 10:30 AM (next day).We are online through your evening and overnight, and your project manager sets live calls in your morning so you are never blocked.
UK & Ireland (London, Dublin) - full team online 5:00 AM - 3:00 PM, project manager 3:00 AM - 6:30 PM.
Central Europe (Berlin, Paris, Amsterdam, Madrid) - full team online 6:00 AM - 4:00 PM, project manager 4:00 AM - 7:30 PM.
Australia East (Sydney, Melbourne, Brisbane) - full team online 3:00 PM - 1:00 AM (next day), project manager 1:00 PM - 4:30 AM (next day).
Want it to the half-hour in your own time? Slide through your day and book a slot below.
Why US product teams use a dedicated developer for MCP
An MCP server is easy to start and hard to run well. The first demo takes a day; the work that follows is enterprise sign-in, per-user permissions, audit logs, the fourth and fifth AI client, and keeping up as the spec and those clients change. That is ongoing engineering, not a one-off project.
A dedicated developer owns that work for you. In your Eastern morning you agree which tools come next and review what shipped; the rest of the developer's day goes on building and testing, and a written handover is waiting when you start. Hiring for MCP and identity experience in the US means competing at a $135,980 median salary (BLS, May 2025) before benefits.
The server runs in your account, the code sits in your repository, and you own both from day one. You pay one monthly USD invoice and can stop with seven days' notice.
Recent AI and product engineering work
Superintelligence: a conversational AI product
A language-model product for natural conversation, built for a US client by a two-developer Empiric Infotech team: the application, the model integration and the backend. The same model-and-tooling work an MCP server serves.
Read case studyEndoDNA: permissions and an AI assistant in one SaaS
A HIPAA-compliant, multi-tenant clinic platform that combines user permissions, lab and genetic data and an AI health assistant, built by a single dedicated developer from Empiric Infotech.
Read case studyVelvet Passport: a creator and brand marketplace
A marketplace that connects creators with brands for collaborations, perks and events, built for a US client by a two-developer Empiric Infotech team.
Read case study“Having a development partner you can fully trust is invaluable”
- Charli Sharp, Founder & CEO, Roamate
Reviews
FAQs
Answers to Common Questions - From Founders, Ops Teams & Tech Leads
Frequently asked questions
Building and running the Model Context Protocol server that lets AI assistants use your product. Empiric Infotech designs the tools and resources, connects your identity provider, deploys the server in your cloud, tests it in Claude, ChatGPT, Microsoft Copilot Studio and Cursor, and keeps it current, through a remote dedicated developer with a senior team lead reviewing every release.
A flat monthly fee per dedicated developer, or an hourly rate for a bounded job; current rates are in the pricing section above. For comparison, a US software developer's median pay is $135,980 a year (BLS, May 2025) before benefits and payroll tax.
Yes. The server follows the MCP authorization spec with OAuth 2.1, and your identity provider issues the tokens, so each tool call runs as the signed-in user and respects that user's roles in your product.
It is built to give reviewers what they check: per-user access, least-privilege tool scopes, audit logs of every tool call in your logging stack, encrypted secrets, rate limits and reviewed deployments. Your auditor issues the report, with that evidence ready.
Any client that speaks MCP, including Claude, ChatGPT connectors, Microsoft Copilot Studio, Cursor, VS Code and agents built with the major SDKs. We test the clients your customers use and give their admins a setup guide.
Use function calling for one agent with a few tools, and an MCP server when several AI clients need the same tools or you want one audited boundary around AI access. We recommend the right one on the first call, and the first week confirms it.
Two hours live every Eastern morning, 8:00 to 10:00 AM ET (one hour from November to March), with the project manager available until 1:30 PM ET. Central teams overlap from 8:00 to 9:00 AM CT, and West Coast teams work through the project manager and a written daily handover.
One USD invoice a month by ACH, wire or card, and yes, a completed W-8BEN-E for your accounts team, so payroll tax and benefits stay off your books.
You do, fully. The NDA and IP assignment are signed before work starts, the code sits in your GitHub or GitLab organization, and the server runs in your own cloud account. You can stop with seven days' notice and keep running it.
Yes. Superintelligence, a conversational AI product, was built for a US client by a two-developer team, and EndoDNA, a HIPAA-compliant clinic platform with an AI health assistant, by a single dedicated developer.
GET A QUOTE NOW
Tell us your tools, data, and which AI clients you target (Claude Desktop, the Claude API, Cursor, ChatGPT connectors, your own agent), and we'll come up with a viable engagement plan!
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