MCP API Integrations — Connect Your AI to Every Tool in Your Stack

An AI agent is only as useful as the systems it can reach. MCP (Model Context Protocol) is the open standard that connects LLMs and AI agents to your real business tools — securely and reliably.

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Why MCP Matters

Without MCP, every AI integration is a custom one-off — brittle API calls, hard-coded credentials, and tools that break when anything changes. MCP provides a standardized protocol so your AI agents can discover, authenticate, and use any tool through a single, consistent interface. Build once, connect to everything.

What We Build

Custom MCP Servers

We build MCP servers that expose your business tools to AI agents. Here is what we integrate.

CategoryExamples
CRMHubSpot, Salesforce, Pipedrive, custom CRMs
Email & CalendarGmail, Outlook, Google Calendar, CalDAV
DatabasesPostgreSQL, MySQL, MongoDB, Supabase, Firebase
Payment & BillingStripe, Square, QuickBooks, FreshBooks
Project ManagementLinear, Jira, Asana, Notion, Monday
CommunicationSlack, Discord, Twilio, SendGrid
File StorageGoogle Drive, Dropbox, S3, SharePoint
E-commerceShopify, WooCommerce, BigCommerce
Custom APIsAny REST or GraphQL API your business uses

MCP Configuration

We configure MCP server registries, tool schemas, and resource endpoints so your AI agents can discover and use your tools automatically — no manual wiring.

Multi-Tool Orchestration

Connect multiple MCP servers so a single agent can work across your CRM, email, database, and billing system in one workflow — no human handoffs required.

Example: Automated Client Onboarding

Here is what a single MCP-connected agent can do when a new client signs up.

1New client fills out a form on your website
2MCP-connected agent creates a contact in your CRM
3Agent sends a personalized welcome email via your email tool
4Agent creates a project workspace in your PM tool
5Agent generates an invoice in your billing system
6Agent notifies your team in Slack with a summary of the new client

Our Process

Phase 1

Discovery & Mapping

  • Inventory your current tools and APIs
  • Map data flows between systems
  • Identify integration priorities and quick wins
Phase 2

MCP Server Development

  • Build custom MCP servers for each integration
  • Implement authentication and authorization
  • Define tool schemas and resource endpoints
Phase 3

Orchestration & Testing

  • Configure multi-tool orchestration logic
  • Test end-to-end workflows with real data
  • Handle edge cases, rate limits, and error recovery
Phase 4

Deploy & Monitor

  • Deploy MCP servers to your infrastructure
  • Set up logging, monitoring, and alerting
  • Hand off documentation and provide 30 days of support

Security & Compliance

Connecting AI to your business tools demands rigorous security. Every MCP integration we build follows these principles.

  • OAuth 2.0 and API key management with encrypted storage
  • Least-privilege access — agents only get the permissions they need
  • Audit logging for every tool call and data access
  • Data encryption in transit and at rest
  • SOC 2 and PIPEDA-aligned practices for Canadian businesses

Investment

TierScopePrice (CAD)
Single Integration1 MCP server, 1 tool connected, basic configuration$3,000 – $5,000
Multi-Tool3–5 MCP servers, orchestration logic, monitoring$5,000 – $10,000
Enterprise PlatformFull stack integration, custom orchestration, security audit$12,000 – $25,000

Ready to Connect Your AI Stack?

Book a free 30-minute discovery call. We will map your tool stack and show you how MCP integrations can unlock end-to-end AI automation.

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