Your product, inside the AI assistants your customers already use.
B2B SaaS Companies, Vertical SaaS, Product Teams
ChatGPT & Claude App Development
Launch Your SaaS Inside ChatGPT, Claude and Gemini — in One Fixed-Price Sprint
Quick answer: Codersarts AI builds ChatGPT apps and Claude connectors for SaaS companies. We turn your existing API into one secure MCP server that works in ChatGPT, Claude and Gemini, then package and submit it for each platform. The Launch Sprint costs $4,900 fixed and takes 3 weeks.
Your customers are moving their daily work into AI assistants. If your product isn't there, they'll do the task with whichever competitor is. We build it once, properly — secure sign-in, permission controls and audit logs included from day one.
4.9/5 client rating · Clients in 50+ countries · Fixed-price sprints · NDA on request · Working-hour overlap with US & Europe
WHY NOW
Why Are SaaS Companies Launching Apps Inside ChatGPT Now?
At OpenAI DevDay 2026 (September 29), ChatGPT became a software platform:
1.2 billion weekly users — the audience OpenAI pitched to developers at DevDay 2026
4,000+ apps already reachable by ChatGPT's Dots agents through plugins
Sign in with ChatGPT — launched with 16 partners including Notion, Vercel and Devin
One standard for every assistant — ChatGPT, Claude and Gemini all connect to products through the Model Context Protocol (MCP)
"Firms don't need another place to work — they need their work to show up where they already are." — Shahram Zarshenas, CEO of Financial Cents, launching the company's MCP server for Claude, ChatGPT and Gemini on October 20, 2026.
When an AI agent picks which tool to use for a task, only products with an AI integration can be chosen.
WHAT WE BUILD
What's Included in a ChatGPT & Claude App Build?
Production MCP server — your API exposed as clean, well-described tools that AI agents call correctly
ChatGPT plugin — packaged, tested in real conversations and submitted through OpenAI's submission flow
Claude connector — a hosted connector Claude users add with a URL and sign-in
Gemini compatibility — the same server works with Gemini and other MCP-compatible clients
Secure sign-in — OAuth 2.1, so passwords and API keys are never shared with the AI assistant
Safe actions — read-first design, confirm-before-write, blocked deletes, rate limits and full audit logs
In-chat interface (Growth tier) — cards, tables and forms instead of plain text
Usage analytics — which tools customers use, and where conversations fail
FREE IN 48 HOURS
What You Get Before You Pay Anything
Send us your API docs and within 48 hours you'll receive your AI Readiness Check, including an honest Build / Wait / Skip recommendation:
A working prototype of one real action on your own API, running inside ChatGPT or Claude
The 5–8 actions your customers are most likely to use inside ChatGPT and Claude
Security risks to address before launch
A fixed price and timeline for your build
COMPARISON
DIY vs Generic Agency vs Codersarts Launch Sprint
DIY in-house | Generic dev agency | Codersarts Launch Sprint | |
Time to live | 4–12 weeks | 3–8 weeks | 3 weeks |
Typical cost | Engineers pulled off your roadmap | $15,000–$80,000 | From $4,900, fixed |
Platforms | Usually one | Usually one | ChatGPT + Claude + Gemini |
Security controls | Often added later | Varies | OAuth 2.1, audit logs, confirmations built in |
Directory submission | Your team works it out | Rarely included | Included |
After launch | Breaks when specs change | Hourly rates | $490/month maintenance plan |
Cost ranges for DIY and agency builds: Intuz, "How Much Does MCP Integration Cost for a SaaS App?", 2026.
WHO THIS IS FOR
Is This Right for Your Company?
A strong fit if you are:
A B2B SaaS company whose users already work in ChatGPT or Claude all day
A vertical SaaS (accounting, legal, property, field service, clinics, HR) watching competitors launch AI integrations
A product team with an API but no spare engineers to learn MCP
A founder who wants to be discoverable when AI agents choose tools
Not a fit if:
You don't yet have paying customers — build the core product first (see MVP Development)
You only want a chatbot on your own website — see AI Copilot / Chatbot Development
PRICING
How Much Does a ChatGPT App Cost?
Launch Sprint | Growth | Enterprise | |
Price | $4,900 fixed | $9,000–$15,000 | $15,000–$30,000+ |
Timeline | 3 weeks | 4–6 weeks | 6–8+ weeks |
Tools / actions | Up to 8 | Up to 25 | Unlimited, multi-module |
Platforms | ChatGPT + Claude + Gemini | ChatGPT + Claude + Gemini | All + private enterprise deployment |
In-chat UI | — | ✓ | ✓ |
Security | OAuth 2.1, confirmations, audit logs | + role-based access | + SSO, tenant isolation, compliance review |
Directory submission | ✓ | ✓ | ✓ |
What affects the price: the number of actions, how many systems the tools touch, how complex your sign-in and permissions are, and whether an API already exists.
Maintenance: optional $490/month after launch.
HOW WE WORK
How Does the 3-Week Launch Sprint Work?
Readiness Check (Days 1–2) — pick the actions customers will use most
Design (Days 3–5) — tool definitions, sign-in flow and permission rules approved by your team
Build (Weeks 1–2) — MCP server, OAuth, audit logging and responses
Test (Week 3) — 50+ real conversations in ChatGPT, Claude and Gemini, plus a security checklist
Launch — deployment, plugin and connector submission, 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 | ChatGPT, Claude and Gemini app development for SaaS |
Starting price | $4,900 fixed (Launch Sprint) |
Timeline | 3 weeks (Launch), up to 8+ weeks (Enterprise) |
Platforms | ChatGPT, Claude, Gemini, any MCP-compatible agent |
Standard | Model Context Protocol (MCP), OAuth 2.1 |
Delivery | Remote, worldwide; engineering team in Noida, India |
After launch | Optional maintenance from $490/month |
WHY CODERSARTS
Why Codersarts
Codersarts AI is the AI engineering division of Codersarts, with in-house ML and full-stack engineers serving clients in 50+ countries at a 4.9/5 satisfaction rating. We build MCP servers, AI agents and RAG systems every week, so we design tools from the AI agent's point of view. You get all three platforms in one sprint, at a fixed price typically 35–55% below US agency rates — and we stay on after launch.
FAQ
Frequently Asked Questions
How much does it cost to build a ChatGPT app for a SaaS product? With Codersarts, a fixed $4,900 for up to 8 actions across ChatGPT, Claude and Gemini. Larger builds cost $9,000–$30,000+. Agencies typically quote $15,000–$80,000.
Do we need separate builds for ChatGPT and Claude? No. One MCP server powers both. Packaging, testing and submission differ per platform, and we handle all of them.
Is it safe to let AI assistants access customer data? Yes, when it's built correctly. Users sign in with OAuth 2.1, permissions match your product, write actions need confirmation, deletes can be blocked and every action is logged.
How long until we're live? The Launch Sprint takes 3 weeks to build. Directory listing depends on each platform's review time.
We don't have a public API. Can you still do it? Yes. We can add a small, secure API layer as part of the project.
Will OpenAI approve our app? Approval is OpenAI's decision. We build to their published guidelines and prepare everything reviewers ask for.
Who owns the code? You do. Full source code, documentation and deployment access are handed over at launch.
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 new MCP tools
LLM Integration & API Orchestration — AI features inside your own product
Forward Deployed Engineers — AI engineers embedded in your team
AI App Rescue — fix products built with AI coding tools
Team Training (labs.codersarts.com) — upskill your developers on MCP and agents
Related Services in This Cluster
RECOMMENDED READING
Recommended Reading
How Much Does It Cost to Build a ChatGPT App in 2026?
OpenAI DevDay 2026: What It Means for SaaS Companies
Build vs Buy: Should Your SaaS Ship an MCP Server In-House?
Vertical SaaS Inside ChatGPT: 10 Industry Use Cases
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