Tools & MCPs

Tools & MCPs Integration

Connect your product to the tools you already use via MCPs and integrations—with guided setup, workflow automation, and reliable sync across your software stack.

Challenges

Problems we solve

Your stack, connected and in sync

Fragmented toolchains

Products that don't talk to each other create manual work and data inconsistencies.

MCP complexity

Setting up Model Context Protocol servers requires deep technical knowledge.

Sync reliability

Integrations that break silently cost trust and create operational headaches.

Workflow gaps

Missing connections between tools force teams into repetitive manual steps.

Solutions

How we deliver

Purpose-built capabilities—not generic dev tasks.

01

MCP Server Setup

End-to-end Model Context Protocol configuration for AI-native tool connections.

02

Custom Integrations

API connections between your product and third-party services.

03

Workflow Automation

Automated data flows and trigger-based actions across your stack.

04

Guided Onboarding

Step-by-step setup support so your team adopts integrations quickly.

Process

Our process

From discovery to launch—clear milestones at every stage.

01

Discovery

We map your users, goals, and technical landscape—aligning on scope, risks, and success metrics.

02

Strategy

Product roadmap, architecture decisions, and a delivery plan tuned to your runway and milestones.

03

Design

UX flows, UI systems, and prototypes that validate the experience before production code.

04

Development

Agile builds with weekly demos, transparent progress, and production-grade engineering practices.

05

Launch

App Store, Play Store, cloud deploy, monitoring, and go-live support for a confident release.

Features

What you get

Production-ready capabilities included in every engagement.

MCP Configuration

Server setup, tool registration, and context management for AI agents.

API Connections

REST, GraphQL, and webhook integrations with major platforms.

Data Sync

Bidirectional sync with conflict resolution and error handling.

Workflow Design

Visual workflow mapping and automation rule configuration.

Monitoring

Integration health checks, logging, and alerting.

Documentation

Setup guides and runbooks for your team.

Technologies

Tech we use

  • MCP
  • TypeScript
  • Node.js
  • Python
  • REST APIs
  • GraphQL
  • Webhooks
Case Studies

Products we've shipped

Real launches with measurable outcomes.

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FAQ

Common questions

Timelines vary by scope. MVPs typically ship in 4–8 weeks. Full SaaS platforms or AI apps range from 8–16 weeks. We provide a detailed timeline during discovery.

Ready to build?

Your next product deserves a team that ships.

Book a free consultation. We'll map your idea, timeline, and the fastest path to a product your users—and investors—will believe in.