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MCP servers that connect your product to Claude, ChatGPT, Cursor, and your own agents - built by a remote dedicated developer.
Remote MCP Server Development for USA A Dedicated Developer, Hourly or Monthly
One production MCP server connecting your product to Claude, ChatGPT, Cursor, and your own agents - built by a remote dedicated developer for $25/hr or $2,000/mo on US morning overlap, W-8BEN-E provided.
MCP Server Development From Empiric Infotech LLP
Empiric Infotech LLP builds and runs MCP servers for US startups, SaaS teams, and agencies as a dedicated-developer engagement: one remote developer (or a small dedicated team) full-time and exclusively on your Model Context Protocol server, in your GitHub or GitLab org and your AWS, Azure, or GCP account, month after month, with a US morning overlap window for standups and pairing. We design the resource and tool surface, implement against the official Anthropic MCP SDK (Python or TypeScript), wire up OAuth 2.1 and SSO, pick the transport, add logging, rate limits, and evals, deploy to your cloud or on-prem, and test against the clients you use - Claude Desktop, Claude in the API, Claude Code, Cursor, Windsurf, VS Code, ChatGPT custom connectors. A senior team lead reviews and tests every change. The engagement is billed two ways - $25 an hour or the standard $2,000 a month per developer - in USD with a W-8BEN-E on file, a 7-day risk-free trial on the monthly plan, and you scale to a team a developer at a time.
What an MCP server engagement delivers for a US team
Not a laptop demo. A Model Context Protocol server in your AWS, Azure, or GCP account - spec-compliant, OAuth-authenticated, logged, SOC 2-friendly - tested against the AI clients your team uses, plus the developer who keeps extending it on your hours.
A spec-compliant MCP server, in your repo and your US cloud
Built against the official Anthropic MCP SDK (Python or TypeScript), resources and tools and prompts modelled to your domain, deployed to your AWS (us-east-1 / us-west-2), Azure, or GCP account, or on-prem. Code, infra, and data stay yours from day one. Published spec, not an MCP-flavoured bespoke protocol.
Your tools and data, exposed safely
Adapters over your REST and GraphQL APIs, your Postgres or MongoDB, your document store, your search index, your CRM (Salesforce, HubSpot), your internal services - exposed as MCP tools and resources with per-tool permission scopes, input validation, and one security boundary, so an assistant can read and act on your systems without a new integration per client.
OAuth 2.1, SSO, and multi-tenant isolation done properly
OAuth 2.1 authorization for remote (Streamable HTTP) servers, SSO or API keys where that fits, stdio for a local server, per-user and per-tenant isolation, consent handling for sensitive actions - the parts that decide whether your security and SOC 2 review passes.
Logging, rate limits, and evals so it survives production
Structured logs and OpenTelemetry traces on every tool call (ready for Datadog, CloudWatch, or your SIEM), rate limiting and timeouts, alertable error surfaces, and eval-driven tests of the server-and-assistant pair so a model change does not silently break a workflow.
Tested against the clients your team uses
Reference integration and a smoke-test pass against Claude Desktop, Claude in the API, Claude Code, Cursor, Windsurf, VS Code, and ChatGPT custom connectors - whichever your team is on - plus a runbook for adding a new client and wiring it into your own agent if you host an MCP client.
The agent side too, when you need it
Both halves - the MCP server (tool layer) and the agent or feature that consumes it (application layer) - by the same developer, or a second dedicated developer at the same flat rate. See /hire/hire-claude-developers and /services/ai-agent-development.
A developer who is still there when the spec moves
MCP is young and the spec keeps moving - transports, auth, registry, UI extensions. A dedicated engagement means the same developer tracks those changes and keeps your server current, month after month, instead of handing you a v1 and a stale README.
How we scope an MCP server engagement
No multi-week procurement dance and no twenty-page SOW. A call, a written scope, a trial, then a monthly engagement you can end any time.
A scoping call (US-friendly slot)
Thirty to forty-five minutes on a US morning or afternoon slot. You tell us which tools and data you want an assistant to reach, which clients you target, your security and SOC 2 posture. No charge, no obligation.
A written scope and team proposal
We send back the resource and tool surface for month one, the transport and OAuth design, who we would put on it, and the flat monthly price in USD. We will tell you honestly if direct function calling beats an MCP server for your case.
A 7-day risk-free trial
The developer gets into your repo and AWS account and ships the first slice - a working, authenticated server with two or three tools running against the client you named - inside the first week, reviewed and tested by the senior lead. Not a fit by day 7, full refund, no debate.
Hourly or monthly, your choice
Hourly: billed by the hour at $25 in USD with a W-8BEN-E on file, time tracked to the minute, a weekly time report and a demo, stop any time - best for a defined scope or burst work. Monthly: 160-172 hours at the standard $2,000, monthly billing in USD, cancel with 7 days notice - the better value when the server is a rolling thing. Switch between them month to month as the surface grows or settles; add a developer (or build the agent side) at the same rate.
Two ways to engage an MCP server developer
Two ways to engage a remote MCP server developer, billed in USD with a W-8BEN-E on file. By the hour at $25 - pay as you go, time tracked to the minute, a weekly report and demo, no monthly commitment - best for a defined scope (a v1 server, a SOC 2-friendly security review, a spec migration) or burst work. Or monthly at the standard $2,000 for 160-172 hours of full-time, exclusive work on US morning overlap - the better value when the server is a rolling thing with new tools, new clients, and spec revisions, with a 7-day risk-free trial. Either way: your repo, your AWS/Azure/GCP, the official Anthropic MCP SDK, and a senior lead reviews and tests every release. Why the hourly premium? MCP is a young spec and the auth, transport, and tenant-isolation work is expert-level; the monthly rate is the same flat rate as any Empiric engagement once you commit.
Hourly plan
- A dedicated MCP server developer, exclusive to you while you have hours booked
- Pay as you go - billed by the hour in USD, time tracked to the minute, a weekly report and demo
- Best for a defined scope (v1 server, SOC 2 review, spec migration); no monthly commitment, stop any time
- Your repo, US cloud, and client integrations (Claude Desktop, Cursor, ChatGPT) from day one; W-8BEN-E provided
- Every release reviewed and tested by a senior lead before it goes live
Monthly plan
- A dedicated MCP server developer, full-time and exclusive - 160-172 hours a month on US morning overlap
- The best value when the server is a rolling thing - new tools, new clients, spec revisions
- Your repo and US cloud from day one; the same flat rate as any Empiric engagement
- 7-day risk-free trial, monthly billing in USD, cancel with 7 days notice; W-8BEN-E provided
- A senior lead reviews and tests every release before it goes live
Dedicated team
- A small dedicated team - developers plus a senior team lead who reviews and tests every release
- Add a developer (or a designer for an admin UI) at the same rate, in 48 hours
- Pair an MCP server developer with an agent developer to ship both halves at once
- Best for a large tool surface, multi-client roll-out, or running both the server and the agent
What the first 90 days look like for a US team
A dedicated engagement is a rolling thing, not a Gantt chart - but here is the shape of the first three months, all on US morning overlap.
- Week 1
Onboarding and the trial server
Repo and AWS access, a working local environment, the transport and OAuth choice made, and a first server with two or three tools - authenticated, logged, running against the client you named - shipped and reviewed. Day 7 is the decision point.
- Month 1
A useful server, in production
The core tool and resource surface live - your priority APIs and data, with permission scopes, input validation, rate limits, structured logging - deployed to staging and production in your US cloud, OAuth 2.1 wired, and a reference integration with Claude Desktop or the client your team uses. An assistant can do real work against your systems behind a real boundary.
- Month 2
Breadth, evals, and the second client
More tools and resources, prompt templates where they help, eval-driven tests of the server-and-assistant pair, observability wired into Datadog or CloudWatch, and integration with a second client surface (Cursor, ChatGPT connectors, your own agent), plus a runbook for adding a new one.
- Month 3
Hardening, the agent side, and ahead of the roadmap
A security pass against the OWASP LLM risks and the MCP auth model (SOC 2-friendly logging in place), a performance pass on the hot tool paths, and - if you want it - the consuming agent or product feature built on top. From here the developer is ahead of your backlog.
A monthly dedicated developer vs a fixed-price AI agency, a freelance marketplace, or a US in-house hire
| Empiric Infotech (monthly dedicated developer) | Fixed-price AI agency | Freelance marketplace (Upwork, Toptal) | Hire a US engineer in-house | |
|---|---|---|---|---|
| Pricing model | $25/hr for hourly work, or the standard $2,000/mo for a full-time developer if you lock a month - your choice; scale a developer at a time | $15K-$60K fixed bid for a v1 MCP server; change orders billed extra | $50-$150/hr; scope creep comes out of your budget | $140K-$190K salary + ~30% loaded - and hard to hire |
| MCP experience | Developers who have shipped MCP servers and consuming agents in production | Varies - many agencies are learning MCP on your build | Hit or miss; verify it on the trial yourself | Whatever your team has - often a first MCP server, learning the spec as they go |
| Quality control | Senior-lead code review + pre-delivery testing on every release, built in | Per agency - often the same juniors who wrote it | On you to review and verify | Your own review process, if you have one |
| Spec adherence | Official Anthropic MCP SDK, published spec, tracks revisions | Per agency - some ship MCP-flavoured bespoke protocols | Per freelancer | Per your team's read of the spec |
| Time to start | 48 hours | 2-6 weeks (proposal, SOW, kickoff) | Days to weeks (post a job, review, interview, trial) | 2-5 months (search, offer, notice, onboarding) in a tight AI-hiring market |
| Time-zone overlap | 1 hr live US-East morning + most of a day shipped before you wake; PM reachable into your afternoon | Per agency | Per freelancer | Same time zone (once you have hired) |
| After v1 | The same developer keeps shipping - new tools, new clients, spec revisions | A new maintenance retainer, or you are on your own | Re-hire the freelancer, or the server goes stale | The engineer stays - if they stay |
| Invoicing and tax | One monthly invoice in USD; W-8BEN-E provided | Per agency terms | Per contractor (1099 / W-9 / per platform) | W-2 payroll, benefits, payroll tax |
Figures are typical US market ranges, not quotes. A fixed-price agency build of a comparable v1 MCP server commonly lands in the $15K-$60K range before change orders; a fully loaded in-house engineer in a major US metro runs roughly $14.6K-$19.8K per month.
Working hours and US overlap
Our team works 09:30 AM - 07:30 PM IST and a project manager is on call 07:30 AM - 10:30 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 - 1:00 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 - 10:00 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 - 6:00 PM.
Central Europe (Berlin, Paris, Amsterdam, Madrid) - full team online 6:00 AM - 4:00 PM, project manager 4:00 AM - 7:00 PM.
Australia East (Sydney, Melbourne, Brisbane) - full team online 2:00 PM - 12:00 AM (next day), project manager 12:00 PM - 3:00 AM (next day).
Want it to the half-hour in your own time? Slide through your day and book a slot below.
Why US teams build their MCP server with a dedicated developer, not a fixed-price agency
The US hiring math on an MCP-fluent backend engineer is brutal right now: a major-metro hire lands at roughly $14,600 to $19,800 a month once you add benefits, payroll tax, and equipment, and the cycle to find and start one runs months, not weeks. A fixed-price AI agency build of a v1 MCP server typically runs $15,000 to $60,000 before the first change order, then a maintenance retainer. Empiric Infotech is billed two ways - $25 an hour for a defined scope, or the standard $2,000 a month per developer for 160-172 hours of full-time, exclusive work - in USD with a W-8BEN-E on file, with the same person on your server the next month, and a senior lead reviewing and testing every release at no extra cost.
MCP is new enough that the fixed-price risk is real: an agency learning the spec on your dime, a server that does not survive your security or SOC 2 review, an MCP-flavoured bespoke protocol that locks you in, a v1 delivered the day the SOW closes and frozen while the spec moves. A dedicated Empiric developer has shipped MCP servers and the agents that consume them in production, follows the official Anthropic SDK and the published spec, works on your US morning overlap, and is still there when the next spec revision lands or you want the third client wired.
We have built AI and LLM features into products since the current wave began - retrieval, agents, structured extraction - and shipped web and mobile products since 2020. The depth shows up in the parts a quickstart skips: a tool surface modelled to your domain rather than dumped one-to-one from your API, OAuth and tenant isolation that passes review, evals that catch a regression before your users do, and the honesty to say when direct function calling beats an MCP server for what you are actually doing.
Recent AI and product engineering work
Superintelligence - an AI product engineered end to end
An AI product built for a USA client by an Empiric Infotech team - the application, the model integration, and the backend behind it. The kind of LLM-and-tooling work an MCP server sits inside.
Read case studyRoamate - AI features inside a travel platform
A solo travel companion platform built for a USA founder by a two-person Empiric Infotech team - the Flutter app, the web surface, real-time chat, and the APIs and AI-assisted features behind them.
Read case studyVelvet Passport - a product team's engineering partner
A consumer product built for a USA client by an Empiric Infotech team - the app, the backend, and the integrations - the kind of dedicated, month-after-month engagement an MCP server engagement runs as.
Read case studyReady to build your MCP server?
Tell us which tools and data you want an assistant to reach (APIs, databases, document store, CRM, internal services) and which clients you target (Claude Desktop, the Claude API, Cursor, ChatGPT connectors, your own agent). Within 24 hours we will send back a resource and tool surface, an OAuth and transport design, a team proposal, and a flat monthly price in USD. Your developer starts inside 48 hours on your morning overlap, and a senior lead reviews and tests everything before it reaches you.
Reviews
FAQs
Answers to Common Questions - From Founders, Ops Teams & Tech Leads
Frequently asked questions
MCP (Model Context Protocol) is the open standard Anthropic published for connecting AI assistants to your tools, data, and APIs. Instead of hard-coding a separate integration into Claude, Cursor, ChatGPT, and every internal agent, you build one MCP server that exposes your tools and data behind a single, OAuth-authenticated security boundary, and any compliant client can use it. You need one when multiple AI clients hit the same internal systems, when you want a single audited boundary for AI access (helps your SOC 2 story), or when you want to ship internal agents that act on your real data without leaking permissions.
Two ways, billed in USD with a W-8BEN-E on file. By the hour at $25 - pay as you go, time tracked to the minute, a weekly report and demo, no monthly commitment - best for a defined scope like a v1 server, a SOC 2-friendly security review, or a spec migration. Or monthly at the standard $2,000 USD per dedicated developer for 160-172 hours of full-time, exclusive work in your repo and your US cloud, on US morning overlap, with a 7-day risk-free trial - the better value when the server is a rolling thing. Either way: the official Anthropic MCP SDK, and a senior lead reviews and tests every release. The monthly rate is the same flat rate as every other Empiric Infotech engagement; no premium for the MCP framing. Add a developer (or build the agent side too) at the same flat rate when the surface grows.
Direct function calling is the right fit when you have one agent surface and a handful of tools. An MCP server is the right fit when multiple AI clients - Claude Desktop, the Claude API, Cursor, ChatGPT connectors, your own agent - need the same tools, or when you need one audited security boundary for AI access. We will tell you which one your case needs on the scoping call and in the first week, and pivot to direct function calling if an MCP server is overkill.
Any MCP-compliant client: Claude Desktop, Claude in the API, Claude Code, Cursor, Windsurf, Zed, Continue, Cline, VS Code, ChatGPT custom connectors, and the growing list of others - plus your own agents built with the Anthropic, OpenAI, or Vercel AI SDK that host an MCP client. We deliver the server, a reference integration for the clients your team uses, and a runbook for adding a new one.
The official Anthropic MCP SDKs - Python or TypeScript, whichever matches your stack - and the published MCP spec, including its revisions. Transport is stdio for a local server and Streamable HTTP for a hosted one, with OAuth 2.1 authorization where the spec calls for it. No MCP-flavoured bespoke protocol; the server works with standard clients, not just ours.
Every MCP server we ship has per-tool permission scopes, input validation, per-user and per-tenant isolation, OAuth 2.1 or SSO or API-key auth, rate limits and timeouts, structured logs and traces on every tool call (ready for Datadog, CloudWatch, or your SIEM), and consent handling for sensitive actions. We threat-model against the OWASP LLM risks and the MCP auth model, and the logging is built to support a SOC 2 narrative. Billed in USD with a W-8BEN-E on file.
Yes. Our Claude and LLM developers build both the MCP server (tool layer) and the agent or product feature that consumes it (application layer). Most engagements pair one developer across both; if you want a separate developer on the agent side, add one at the same flat monthly rate - see /hire/hire-claude-developers and /services/ai-agent-development.
Yes - our Claude and LLM developers have shipped MCP servers exposing internal APIs, document retrieval (RAG as an MCP resource), CRM read and write, and CI workflows to Claude Desktop, Cursor, and custom agents for B2B SaaS teams, using the official Anthropic SDKs. MCP is recent, so the named portfolio entries on this site are products rather than public MCP servers; on the trial we will show you the closest production work.
You own it - your GitHub or GitLab org, your cloud account, your domain, from day one. It runs where you want it: AWS (us-east-1 / us-west-2), Azure, GCP, or on-prem. We work inside your accounts, not ours.
Within 48 hours of sign-off: a scoping call on a US-friendly slot, a written scope and team proposal, then onboarding - your repo, your AWS account, a working local environment - on day one. The first 7 days are a risk-free trial with a full refund if it is not a fit and a no-cost developer swap inside that window. After that, monthly billing in USD with 7 days notice to stop - no auto-renewal, no minimum term.
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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