Make your product callable by every AI agent.
SaaS Companies, Enterprises, Internal Platform Teams
MCP Server Development
Production MCP Servers That AI Agents Can Use Safely
Quick answer: Codersarts AI builds custom, production-grade MCP servers that connect your API, database or internal tools to ChatGPT, Claude, Gemini and AI agents. Every server includes OAuth 2.1, scoped permissions, audit logs and monitoring. A read-only proof of concept costs $1,500 (1 week). Production servers cost $4,900–$12,000.
ChatGPT, Claude, Gemini and most agent frameworks connect to software through MCP. We build servers that expose your product as clean, reliable tools — and that pass your security team's review.
4.9/5 client rating · Clients in 50+ countries · Fixed-price builds · NDA on request · Working-hour overlap with US & Europe
THE PROBLEM
Why Isn't a Demo MCP Server Enough?
OX Security's study of 15,465 public MCP servers (published October 6, 2026) found no vetting on major marketplaces, servers routed through personal tunnels, and 2.3% of hostnames no longer resolving — some on expired domains anyone could buy for $4–$12.
Generating tools from your API spec gets you a demo. Production needs real authentication, tenant isolation, focused tool design, rate limits, logging and someone accountable when the spec changes.
WHAT WE BUILD
What's Included in an MCP Server Build?
API-to-MCP layer — REST, GraphQL or database access exposed as task-focused tools, not a raw endpoint dump
Remote MCP servers — hosted, scalable, using streamable HTTP transport
OAuth 2.1 authorization — per-user access with scopes that mirror your product's permissions
Guardrails — confirm-before-write, blocked destructive actions, input validation and rate limits
Audit logging — every tool call recorded with user, inputs and result
Observability — latency, error and usage dashboards per tool
Internal MCP servers — connect your own AI agents to CRMs, ERPs, data warehouses and internal tools
FREE IN 48 HOURS
What You Get Before You Pay Anything
An MCP Tool Map: the tools we'd expose from your API, the auth model, the risks, a fixed quote and one working tool built on your real API — within 48 hours.
COMPARISON
Auto-Generated vs Production MCP Server
Auto-generated from API spec | Codersarts production server | |
Tools | One per endpoint, often 100+ | A task-focused set agents choose correctly |
Auth | API key | OAuth 2.1 with scoped permissions |
Multi-tenant safety | Not handled | Tenant isolation built in |
Write safety | None | Confirmations, blocked deletes, rate limits |
Logging | None | Full audit trail |
Ownership | Nobody | Documented, tested, maintainable |
WHO THIS IS FOR
Is This Right for Your Team?
A strong fit if you are:
A SaaS company that wants its product usable by ChatGPT, Claude and AI agents
An enterprise giving internal AI agents controlled access to business systems
An AI startup that needs MCP integrations with third-party tools for its own agents
A team with a prototype MCP server that now needs to be production-ready
Not a fit if: you need one personal script for your own laptop — an open-source server will do.
PRICING
How Much Does an MCP Server Cost?
Proof of Concept | Production | Enterprise | |
Price | $1,500 | $4,900–$12,000 | $12,000–$25,000+ |
Timeline | 1 week | 2–4 weeks | 4–6+ weeks |
Scope | Read-only, up to 5 tools, one system | Read + write, OAuth 2.1, audit logs, monitoring | Multiple systems, SSO, tenant isolation, VPC or on-prem |
What affects the price: the number of systems, how complex auth is, who runs the hosting, and whether an API already exists.
HOW WE WORK
How We Build Your MCP Server
Map (Days 1–3) — systems, users, permissions and the tasks AI agents should perform
Design (Week 1) — tool schema, auth model and guardrails approved by your team
Build (Weeks 1–3) — server, OAuth, logging and tests
Harden (Weeks 3–4) — security checklist, load tests and real-client testing
Deploy — your cloud or ours, with documentation and handover
OUR GUARANTEES
Our Guarantees
NDA on day one — signed before you share any code or documents
You own the code at every milestone — full IP transfer, no retained rights
30-day bug-fix warranty — free fixes for 30 days after launch
Backup engineer — a briefed second engineer if anyone on your project is unavailable
Compliance-aligned — built to align with GDPR, HIPAA and SOC 2 controls
Time-zone overlap — working hours that overlap with US, UK, European and Middle East teams
KEY FACTS
Key Facts
Service | Custom MCP server development |
Starting price | $1,500 proof of concept; production from $4,900 |
Timeline | 1–6 weeks |
Works with | ChatGPT, Claude, Gemini, LangGraph, CrewAI and other MCP clients |
Security | OAuth 2.1, scoped permissions, audit logs, rate limits |
Hosting | AWS, Azure, GCP, your VPC or managed by Codersarts |
WHY CODERSARTS
Why Codersarts
We build AI agents as well as the servers they call, so we design tools from the agent's point of view — which is why our servers get called correctly. Our India-based engineering team delivers production quality at 35–55% below typical US agency rates.
FAQ
Frequently Asked Questions
How much does a custom MCP server cost? A read-only proof of concept costs $1,500 and takes 1 week. Production servers typically cost $4,900–$12,000. Multi-system enterprise servers cost $12,000–$25,000+.
Can't we auto-generate it from our OpenAPI spec? For a demo, yes. In production, one tool per endpoint confuses AI models, and generated servers rarely handle OAuth, tenant isolation, confirmations or logging.
Do we need to change our existing API? Usually not. The MCP server sits on top of your API. We only add endpoints if key actions are missing.
Where is the server hosted? In your cloud (AWS, Azure, GCP), inside your VPC, or managed by us.
How fast can we hire an MCP developer through you? Projects start within a week. For ongoing work, our Forward Deployed Engineers join your team monthly.
Who owns the server? You do — full source code and deployment access.
GET STARTED
Tell Us About Your Product — Get a Plan in 48 Hours
Share a few details and a Codersarts AI engineer (not a salesperson) will reply within 48 hours with a scoped plan, a fixed price and a timeline. No commitment, NDA on request.
What happens after you submit
Within 48 hours: an engineer reviews your product or API docs
Day 2–3: you receive a written plan with scope, fixed price and timeline
Day 3–5: optional 30-minute call to finalise
Kick-off: work starts within a week of your go-ahead
BACKED BY CODERSARTS
More Ways Codersarts Supports Your AI Product
AI Agent Development — agents that use your MCP tools
Forward Deployed Engineers — MCP and AI engineers embedded monthly
RAG Engineering & Deployment — document search exposed as MCP tools
MLOps / LLMOps Infrastructure — production operations for your AI stack
Hire Developers — dedicated backend developers
Related Services in This Cluster
RECOMMENDED READING
Recommended Reading
How to Turn Your REST API into an MCP Server
MCP Server Development Cost: In-House vs Agency vs Offshore
Hire an MCP Developer: Rates, Skills and Interview Questions
OAuth 2.1 for MCP Servers, Explained
Build Enterprise AI That Delivers Business Value
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