For Your Users
Customers can query your product, pull data, and trigger actions from their AI agent — no UI switching required.
MCP SERVER DEVELOPMENT
Let Users Talk to Your Product Through AI
We build lean, focused MCP servers for your software — so developers and teams can use Claude, Cursor, or any AI agent to interact with your product without bloating the context window.
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 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.
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.
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.
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.
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.
Products We Build MCP Servers For
Real examples of how MCP servers let users interact with software products through AI agents.
Project Management Tools
Users create tickets, query sprints, and update statuses through Claude — like a Linear or Jira that responds to natural language.
CRM Platforms
Sales teams pull contact data, log calls, and update deals from Cursor or Claude Desktop — no tab switching.
Analytics Platforms
Users ask questions about their data and get reports back through their AI agent — no dashboard navigation needed.
Internal Tools & APIs
Expose your internal tool or API to your team's AI agents securely — so they can query and act on it from their terminal.
What We Deliver
Every engagement includes a production-ready MCP server and everything your users need to connect.
- Lean MCP server with only the tools your users need — no API bloat
- Token-efficient tool descriptions and response schemas
- Authentication and permission handling
- Full documentation so users connect in minutes
- Ongoing maintenance and updates as your product evolves
Pricing
Transparent pricing based on scope and complexity.
Starter MCP
Get your product into AI agents with a focused integration — single MCP server, 3–5 tools, 30-day support.
$1,500–$5,000
Get startedGrowth
A complete MCP server with auth, error handling, and full docs — ready for your users to connect and go.
$5,000–$15,000
Get startedScale
Multi-resource MCP server with advanced tooling, permissions, and production-grade reliability for your product.
$15,000–$30,000
Get startedEnterprise
Full MCP infrastructure for complex products — SLA, compliance, custom auth, and dedicated support.
Contact Us
Contact UsHow It Works
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.
Frequently Asked Questions
Make Your Product AI-Native
Tell us about your product and we'll show you how an MCP server can open it up to AI agents.