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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 DevelopmentA Dedicated DeveloperHourly 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, with a senior lead reviewing every release.
MCP Server Development From Empiric Infotech LLP
Empiric Infotech LLP builds and runs MCP servers as a dedicated-developer engagement: one remote developer (or a small dedicated team) working full-time and exclusively on your Model Context Protocol server, in your GitHub or GitLab org and your cloud account, month after month. We design the resource and tool surface, implement it against the official Anthropic MCP SDK (Python or TypeScript, whichever matches your stack), wire up auth (OAuth 2.1 for remote transports, API keys, SSO), pick the transport (stdio for a local server, Streamable HTTP for a hosted one), add logging, rate limits, and evals, deploy it to AWS, Azure, GCP, Hetzner, DigitalOcean, or Hostinger - or run it on-prem - and test it against the clients you actually use: Claude Desktop, Claude in the API, Claude Code, Cursor, Windsurf, Zed, Continue, VS Code, and ChatGPT custom connectors. A senior team lead reviews and tests every change before it reaches you. The engagement is billed two ways - $25 an hour or the standard $2,000 a month per developer - with a 7-day risk-free trial on the monthly plan, and you scale to a team a developer at a time when the surface grows.
What an MCP server engagement delivers
Not a proof-of-concept that runs on someone's laptop. A Model Context Protocol server in your cloud account, spec-compliant, authenticated, logged, and tested against the AI clients your team uses - plus the developer who keeps extending it.
A spec-compliant MCP server, in your repo and your cloud
Built against the official Anthropic MCP SDK (Python or TypeScript) - resources, tools, and prompts modelled to your domain - deployed to your AWS, Azure, GCP, Hetzner, DigitalOcean, or Hostinger account, or on-prem. The code, the infra, and the data stay yours from day one. We follow the published spec; we do not ship 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, your internal services - exposed as MCP tools and resources with per-tool permission scopes, input validation, and a single security boundary, so an assistant can read and act on your systems without you wiring a new integration into every client.
Auth, transport, and multi-tenant isolation done properly
OAuth 2.1 authorization for remote (Streamable HTTP) servers, API keys or bearer tokens or SSO where that fits, stdio for a local server, per-user and per-tenant isolation, and consent handling for sensitive actions. The boring parts that decide whether a security review passes.
Logging, rate limits, and evals so it survives production
Structured logs and OpenTelemetry traces on every tool call, rate limiting and timeouts, error surfaces you can alert on, and eval-driven testing of the server-and-assistant pair so a model change does not silently break a workflow. Observability that survives a 3 AM page.
Tested against the clients you actually use
Reference integration and a smoke-test pass against Claude Desktop, Claude in the API, Claude Code, Cursor, Windsurf, Zed, Continue, VS Code, and ChatGPT custom connectors - whichever ones your team is on - plus a runbook for adding it to a new client. If your own agent hosts an MCP client, we wire that too.
The agent side too, when you need it
Most teams want both halves: the MCP server (the tool layer) and the agent or feature that consumes it (the application layer). The same developer can build both - the design trade-offs cross the boundary - or we pair a second dedicated developer on the agent side at the same flat rate. See /hire/hire-claude-developers.
A developer who is still there when the spec moves
MCP is young and the spec is still evolving - transports, auth, registry, UI extensions. A dedicated engagement means the same developer tracks those changes, keeps your server current, and adds the next tool surface, month after month, instead of handing you a v1 and a stale README.
How we scope an MCP server engagement
No multi-week sales cycle and no twenty-page statement of work. A call, a written scope, a trial, then a monthly engagement you can end any time.
A scoping call
Thirty to forty-five minutes. You tell us which tools and data you want an assistant to reach (APIs, databases, document store, CRM, internal services), which clients you target (Claude Desktop, Claude API, Cursor, ChatGPT connectors, your own agent), and your security posture. No charge, no obligation.
A written scope and team proposal
We send back the resource and tool surface for the first month, the transport and auth design, who we would put on it - one developer to start, or a small dedicated team if the surface is large - and the flat monthly price. We will also tell you honestly if direct function calling beats an MCP server for your case; we do not push the architecture for its own sake.
A 7-day risk-free trial
The developer gets into your repo and cloud account and ships the agreed first slice - usually a working server with two or three tools, authenticated and running against Claude Desktop or the client you named - inside the first week, reviewed and tested by the senior lead. If it is not a fit by day 7, you get a full refund, no debate.
Hourly or monthly, your choice
Hourly: billed by the hour at $25, 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, 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 an MCP server developer. 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 security review, a spec migration) or burst work. Or monthly at the standard $2,000 for 160-172 hours of full-time, exclusive work - 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 cloud account, 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, time tracked to the minute, a weekly report and demo
- Best for a defined scope (v1 server, security review, spec migration); no monthly commitment, stop any time
- Your repo, cloud account, and client integrations (Claude Desktop, Cursor, ChatGPT) from day one
- 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
- The best value when the server is a rolling thing - new tools, new clients, spec revisions
- Your repo and cloud from day one; the same flat rate as any Empiric engagement
- 7-day risk-free trial, monthly billing, cancel with 7 days notice
- 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 of an MCP server engagement look like
A dedicated engagement is a rolling thing, not a Gantt chart - but here is the shape of the first three months on a typical MCP server build.
- Week 1
Onboarding and the trial server
Repo and cloud-account access, a working local environment, the transport and auth choice made, and a first server with two or three tools - authenticated, logged, and running against the client you named - shipped and reviewed. Day 7 is the decision point: keep going, or take the refund.
- 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, and structured logging - deployed to staging and production, OAuth 2.1 wired if it is a remote server, and a reference integration with Claude Desktop or the client your team uses. By the end of month one an assistant can do real work against your systems behind a real security 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, tighter observability, and integration with a second client surface (Cursor, ChatGPT connectors, your own agent). The rough edges from month one smoothed, and a runbook for adding the server to a new client.
- Month 3
Hardening, the agent side, and ahead of the roadmap
A security pass against the OWASP LLM risks and the MCP auth model, a performance pass on the hot tool paths, and - if you want it - the consuming agent or product feature built on top, by the same developer or a second one. From here the developer is ahead of your backlog: the next tool surface, the next client, the next spec revision.
A monthly dedicated developer vs a fixed-price AI agency, a freelance marketplace, or an in-house hire
| Empiric Infotech (monthly dedicated developer) | Fixed-price AI agency | Freelance marketplace (Upwork, Toptal) | Build it 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 | $40-$150/hr; scope creep comes out of your budget | $110K-$160K salary + ~30% loaded, per engineer |
| 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 |
| Who owns the code and infra | You - your repo, your cloud account, from day one | You, on final payment (delivery sometimes staged) | You per contract - check the IP-assignment clause | You |
| Time to start | 48 hours | 2-6 weeks (proposal, SOW, kickoff) | Days to weeks (post a job, review, interview, trial) | 2-4 months (search, offer, notice period, onboarding) |
| 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 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 runs roughly $9.2K-$13.3K per month.
Working hours and meeting availability
Our developers work 09:30 AM to 07:30 PM IST, Monday to Friday (160-172 billable hours a month). A project manager is reachable 07:30 AM to 10:30 PM IST. Live overlap by region:
| Region | Developer live overlap | PM available for meetings | What this means |
|---|---|---|---|
| USA East (ET) | 1 hr 9:00-10:00 AM ET | 9:00 PM previous day - 12:30 PM ET | Morning standup, then most of a working day shipped async before your day starts. |
| UK and Ireland (GMT/BST) | 5-6 hr 9:00 AM - 2:00 PM | Full UK working day | Live pairing on the tool surface, auth wiring, and client integration across the morning. |
| Western Europe (CET/CEST) | 6-7 hr 9:00 AM - 4:00 PM | Full EU working day | Strongest overlap - works like an in-house developer with a commute. |
| Sydney and Melbourne (AEST/AEDT) | 3.5 hr 2:00 - 5:30 PM AEST | 12:00 noon - 3:00 AM next day AEST | Afternoon standup, then overnight async builds and deploys. |
Why teams build their MCP server with a dedicated developer, not a fixed-price agency
The hard part of an MCP server is not the SDK quickstart, it is the second month: schema drift, auth that survives a security review, the fourth tool you add after the demo, and an agent on the other end that actually exercises every code path. An in-house engineer who could carry that is roughly $9,200 to $13,300 a month once you add benefits, payroll tax, and equipment, and a strong one is hard to hire and slow to start. 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 separate 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 - with the same person on your server the next month and the month after, and a senior lead reviewing and testing every release at no extra cost.
MCP is new enough that the risk on a fixed-price build is real: an agency learning the spec on your dime, a server that does not survive a security review, an MCP-flavoured bespoke protocol that locks you in, a v1 delivered the day the SOW closes and then frozen while the spec moves underneath it. 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, 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, the lot - and shipped web and mobile products since 2014. 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, auth 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 studyVedu - AI image generation and TTS in an EdTech app
An AI-powered German language learning product built for a German client by a two-person Empiric Infotech team - the Flutter app, the flashcard and quiz engine, text-to-speech, and AI image generation wired into the content backend.
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 auth and transport design, a team proposal, and a flat monthly price. Your developer starts inside 48 hours, and a senior lead reviews and tests everything before it reaches you.
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FAQs
Answers to Common Questions - From Founders, Ops Teams & Tech Leads
Frequently asked questions
What is MCP and why would my company need an MCP server?
How much does MCP server development cost - hourly or monthly?
Should I build an MCP server or just use direct function calling?
Which AI clients work with the MCP servers you build?
Which SDK and transport do you use - and do you follow the spec?
What about security, auth, and audit?
Can the same developer build the agent that uses the MCP server?
Do you have prior MCP server experience?
Who owns the MCP server and where does it run?
How fast can you start, and what if it is not working out?
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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