SaaS Products
You have a public API and want your users to access your product through AI agents. Like Stripe, Asana, and Intercom already do.
MCP SERVER DEVELOPMENT
Turn Your API Into an MCP Server
Send us your API docs. We build a production-ready MCP server so your users can interact with your product from Claude, Cursor, and any AI agent.
Claude Desktop
Who This Is For
If you have an API and want it accessible through AI agents, we build the bridge.
Internal Tools & APIs
Your team uses Claude Code or Cursor daily but can't reach your internal systems. We bridge that gap.
Companies Building AI Agents
Your agent needs to do real things — query data, update records, trigger workflows. MCP is the tool layer.
Why Build an MCP Server for Your Product
An MCP server turns your software into something AI agents can use natively — opening new channels for adoption, retention, and differentiation.
For Your Users
Customers can query your product, pull data, and trigger actions from their AI agent — no UI switching required.
For Developer Adoption
Developers using Claude Code or Cursor integrate your product into their workflow natively — increasing stickiness and reducing churn.
For Your Product
An MCP server makes your software AI-native, putting you ahead of competitors who haven't made that move yet.
See MCP in Action
Chat with an AI agent connected to a demo MCP server. Ask about products, check service status, or look up customer data — and watch the tools get called in real time.
Hey! I'm connected to a demo MCP server with tools for product lookup, status checks, and customer context. Try asking me something — like "What's the Pro plan?" or "Is checkout healthy?"
Want this for your product?
Built Lean. Not Bloated.
Most MCP servers dump every API endpoint into the agent's context — wasting tokens, confusing the model, and slowing everything down. We do the opposite.
01
Minimal tool surface
We expose only the tools your users actually need — not your entire API. Fewer tools means the agent picks the right one every time, without burning context on irrelevant options.
02
Structured, scoped responses
Every tool returns exactly what the agent needs — no raw API dumps, no nested JSON blobs. Clean responses that keep the context window lean and the model focused.
03
Context-aware design
We design tool descriptions and parameter schemas for how LLMs actually read them — concise, unambiguous, and optimized for token efficiency. The result: faster responses, lower costs, better accuracy.
What You Get
Not a prototype. A production MCP server your users connect to from day one.
- Your users add one config line and start talking to your product
- Agents pick the right tool every time — no context window bloat
- Auth and permissions handled — your data stays secure
- We maintain it as your product evolves — you don't touch MCP code
Server
Production MCP server code
Tools
Lean tool definitions + schemas
Auth
Authentication + permissions
Docs
User-facing connection guide
Tests
Integration + edge case suite
Deploy
Hosting + CI/CD config
Scope & Timeline
From first call to your users connecting — scoped to what you need.
~1 week
Simple
Single MCP server · 3–5 tools
Standard auth, lean tool definitions, documentation. Your users connect from day one.
~2 weeks
Standard
Multi-resource MCP · custom auth
Error handling, structured responses, complete docs, and integration testing.
2–4 weeks
Advanced
Full MCP infrastructure · multiple servers
SLA, compliance, multiple server coordination, monitoring, and dedicated support.
Ready to scope your project?Book a free consultation
How We Deliver
From first call to your users connecting — here is how we deliver.
01
Discovery Call
We learn your product, API, and what your users need to do through AI agents.
02
Architecture Design
We map out tools, resources, auth model, and the MCP server structure.
03
Build & Test
We develop, document, and QA the MCP server against real usage scenarios.
04
Deploy & Support
We ship, help your users connect, and provide ongoing maintenance.
Trusted by teams building with AI
Want your AI agent to reach users on Slack, Teams, and WhatsApp? Pair it with multi-platform deployment.
Frequently Asked Questions
Turn Your API Into an MCP Server
Tell us about your product and we'll scope a production-ready MCP server for your users.